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diff --git a/cpukit/zlib/doc/rfc1951.txt b/cpukit/zlib/doc/rfc1951.txt deleted file mode 100644 index 403c8c722f..0000000000 --- a/cpukit/zlib/doc/rfc1951.txt +++ /dev/null @@ -1,955 +0,0 @@ - - - - - - -Network Working Group P. Deutsch -Request for Comments: 1951 Aladdin Enterprises -Category: Informational May 1996 - - - DEFLATE Compressed Data Format Specification version 1.3 - -Status of This Memo - - This memo provides information for the Internet community. This memo - does not specify an Internet standard of any kind. Distribution of - this memo is unlimited. - -IESG Note: - - The IESG takes no position on the validity of any Intellectual - Property Rights statements contained in this document. - -Notices - - Copyright (c) 1996 L. Peter Deutsch - - Permission is granted to copy and distribute this document for any - purpose and without charge, including translations into other - languages and incorporation into compilations, provided that the - copyright notice and this notice are preserved, and that any - substantive changes or deletions from the original are clearly - marked. - - A pointer to the latest version of this and related documentation in - HTML format can be found at the URL - <ftp://ftp.uu.net/graphics/png/documents/zlib/zdoc-index.html>. - -Abstract - - This specification defines a lossless compressed data format that - compresses data using a combination of the LZ77 algorithm and Huffman - coding, with efficiency comparable to the best currently available - general-purpose compression methods. The data can be produced or - consumed, even for an arbitrarily long sequentially presented input - data stream, using only an a priori bounded amount of intermediate - storage. The format can be implemented readily in a manner not - covered by patents. - - - - - - - - -Deutsch Informational [Page 1] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - -Table of Contents - - 1. Introduction ................................................... 2 - 1.1. Purpose ................................................... 2 - 1.2. Intended audience ......................................... 3 - 1.3. Scope ..................................................... 3 - 1.4. Compliance ................................................ 3 - 1.5. Definitions of terms and conventions used ................ 3 - 1.6. Changes from previous versions ............................ 4 - 2. Compressed representation overview ............................. 4 - 3. Detailed specification ......................................... 5 - 3.1. Overall conventions ....................................... 5 - 3.1.1. Packing into bytes .................................. 5 - 3.2. Compressed block format ................................... 6 - 3.2.1. Synopsis of prefix and Huffman coding ............... 6 - 3.2.2. Use of Huffman coding in the "deflate" format ....... 7 - 3.2.3. Details of block format ............................. 9 - 3.2.4. Non-compressed blocks (BTYPE=00) ................... 11 - 3.2.5. Compressed blocks (length and distance codes) ...... 11 - 3.2.6. Compression with fixed Huffman codes (BTYPE=01) .... 12 - 3.2.7. Compression with dynamic Huffman codes (BTYPE=10) .. 13 - 3.3. Compliance ............................................... 14 - 4. Compression algorithm details ................................. 14 - 5. References .................................................... 16 - 6. Security Considerations ....................................... 16 - 7. Source code ................................................... 16 - 8. Acknowledgements .............................................. 16 - 9. Author's Address .............................................. 17 - -1. Introduction - - 1.1. Purpose - - The purpose of this specification is to define a lossless - compressed data format that: - * Is independent of CPU type, operating system, file system, - and character set, and hence can be used for interchange; - * Can be produced or consumed, even for an arbitrarily long - sequentially presented input data stream, using only an a - priori bounded amount of intermediate storage, and hence - can be used in data communications or similar structures - such as Unix filters; - * Compresses data with efficiency comparable to the best - currently available general-purpose compression methods, - and in particular considerably better than the "compress" - program; - * Can be implemented readily in a manner not covered by - patents, and hence can be practiced freely; - - - -Deutsch Informational [Page 2] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - * Is compatible with the file format produced by the current - widely used gzip utility, in that conforming decompressors - will be able to read data produced by the existing gzip - compressor. - - The data format defined by this specification does not attempt to: - - * Allow random access to compressed data; - * Compress specialized data (e.g., raster graphics) as well - as the best currently available specialized algorithms. - - A simple counting argument shows that no lossless compression - algorithm can compress every possible input data set. For the - format defined here, the worst case expansion is 5 bytes per 32K- - byte block, i.e., a size increase of 0.015% for large data sets. - English text usually compresses by a factor of 2.5 to 3; - executable files usually compress somewhat less; graphical data - such as raster images may compress much more. - - 1.2. Intended audience - - This specification is intended for use by implementors of software - to compress data into "deflate" format and/or decompress data from - "deflate" format. - - The text of the specification assumes a basic background in - programming at the level of bits and other primitive data - representations. Familiarity with the technique of Huffman coding - is helpful but not required. - - 1.3. Scope - - The specification specifies a method for representing a sequence - of bytes as a (usually shorter) sequence of bits, and a method for - packing the latter bit sequence into bytes. - - 1.4. Compliance - - Unless otherwise indicated below, a compliant decompressor must be - able to accept and decompress any data set that conforms to all - the specifications presented here; a compliant compressor must - produce data sets that conform to all the specifications presented - here. - - 1.5. Definitions of terms and conventions used - - Byte: 8 bits stored or transmitted as a unit (same as an octet). - For this specification, a byte is exactly 8 bits, even on machines - - - -Deutsch Informational [Page 3] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - which store a character on a number of bits different from eight. - See below, for the numbering of bits within a byte. - - String: a sequence of arbitrary bytes. - - 1.6. Changes from previous versions - - There have been no technical changes to the deflate format since - version 1.1 of this specification. In version 1.2, some - terminology was changed. Version 1.3 is a conversion of the - specification to RFC style. - -2. Compressed representation overview - - A compressed data set consists of a series of blocks, corresponding - to successive blocks of input data. The block sizes are arbitrary, - except that non-compressible blocks are limited to 65,535 bytes. - - Each block is compressed using a combination of the LZ77 algorithm - and Huffman coding. The Huffman trees for each block are independent - of those for previous or subsequent blocks; the LZ77 algorithm may - use a reference to a duplicated string occurring in a previous block, - up to 32K input bytes before. - - Each block consists of two parts: a pair of Huffman code trees that - describe the representation of the compressed data part, and a - compressed data part. (The Huffman trees themselves are compressed - using Huffman encoding.) The compressed data consists of a series of - elements of two types: literal bytes (of strings that have not been - detected as duplicated within the previous 32K input bytes), and - pointers to duplicated strings, where a pointer is represented as a - pair <length, backward distance>. The representation used in the - "deflate" format limits distances to 32K bytes and lengths to 258 - bytes, but does not limit the size of a block, except for - uncompressible blocks, which are limited as noted above. - - Each type of value (literals, distances, and lengths) in the - compressed data is represented using a Huffman code, using one code - tree for literals and lengths and a separate code tree for distances. - The code trees for each block appear in a compact form just before - the compressed data for that block. - - - - - - - - - - -Deutsch Informational [Page 4] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - -3. Detailed specification - - 3.1. Overall conventions In the diagrams below, a box like this: - - +---+ - | | <-- the vertical bars might be missing - +---+ - - represents one byte; a box like this: - - +==============+ - | | - +==============+ - - represents a variable number of bytes. - - Bytes stored within a computer do not have a "bit order", since - they are always treated as a unit. However, a byte considered as - an integer between 0 and 255 does have a most- and least- - significant bit, and since we write numbers with the most- - significant digit on the left, we also write bytes with the most- - significant bit on the left. In the diagrams below, we number the - bits of a byte so that bit 0 is the least-significant bit, i.e., - the bits are numbered: - - +--------+ - |76543210| - +--------+ - - Within a computer, a number may occupy multiple bytes. All - multi-byte numbers in the format described here are stored with - the least-significant byte first (at the lower memory address). - For example, the decimal number 520 is stored as: - - 0 1 - +--------+--------+ - |00001000|00000010| - +--------+--------+ - ^ ^ - | | - | + more significant byte = 2 x 256 - + less significant byte = 8 - - 3.1.1. Packing into bytes - - This document does not address the issue of the order in which - bits of a byte are transmitted on a bit-sequential medium, - since the final data format described here is byte- rather than - - - -Deutsch Informational [Page 5] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - bit-oriented. However, we describe the compressed block format - in below, as a sequence of data elements of various bit - lengths, not a sequence of bytes. We must therefore specify - how to pack these data elements into bytes to form the final - compressed byte sequence: - - * Data elements are packed into bytes in order of - increasing bit number within the byte, i.e., starting - with the least-significant bit of the byte. - * Data elements other than Huffman codes are packed - starting with the least-significant bit of the data - element. - * Huffman codes are packed starting with the most- - significant bit of the code. - - In other words, if one were to print out the compressed data as - a sequence of bytes, starting with the first byte at the - *right* margin and proceeding to the *left*, with the most- - significant bit of each byte on the left as usual, one would be - able to parse the result from right to left, with fixed-width - elements in the correct MSB-to-LSB order and Huffman codes in - bit-reversed order (i.e., with the first bit of the code in the - relative LSB position). - - 3.2. Compressed block format - - 3.2.1. Synopsis of prefix and Huffman coding - - Prefix coding represents symbols from an a priori known - alphabet by bit sequences (codes), one code for each symbol, in - a manner such that different symbols may be represented by bit - sequences of different lengths, but a parser can always parse - an encoded string unambiguously symbol-by-symbol. - - We define a prefix code in terms of a binary tree in which the - two edges descending from each non-leaf node are labeled 0 and - 1 and in which the leaf nodes correspond one-for-one with (are - labeled with) the symbols of the alphabet; then the code for a - symbol is the sequence of 0's and 1's on the edges leading from - the root to the leaf labeled with that symbol. For example: - - - - - - - - - - - -Deutsch Informational [Page 6] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - /\ Symbol Code - 0 1 ------ ---- - / \ A 00 - /\ B B 1 - 0 1 C 011 - / \ D 010 - A /\ - 0 1 - / \ - D C - - A parser can decode the next symbol from an encoded input - stream by walking down the tree from the root, at each step - choosing the edge corresponding to the next input bit. - - Given an alphabet with known symbol frequencies, the Huffman - algorithm allows the construction of an optimal prefix code - (one which represents strings with those symbol frequencies - using the fewest bits of any possible prefix codes for that - alphabet). Such a code is called a Huffman code. (See - reference [1] in Chapter 5, references for additional - information on Huffman codes.) - - Note that in the "deflate" format, the Huffman codes for the - various alphabets must not exceed certain maximum code lengths. - This constraint complicates the algorithm for computing code - lengths from symbol frequencies. Again, see Chapter 5, - references for details. - - 3.2.2. Use of Huffman coding in the "deflate" format - - The Huffman codes used for each alphabet in the "deflate" - format have two additional rules: - - * All codes of a given bit length have lexicographically - consecutive values, in the same order as the symbols - they represent; - - * Shorter codes lexicographically precede longer codes. - - - - - - - - - - - - -Deutsch Informational [Page 7] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - We could recode the example above to follow this rule as - follows, assuming that the order of the alphabet is ABCD: - - Symbol Code - ------ ---- - A 10 - B 0 - C 110 - D 111 - - I.e., 0 precedes 10 which precedes 11x, and 110 and 111 are - lexicographically consecutive. - - Given this rule, we can define the Huffman code for an alphabet - just by giving the bit lengths of the codes for each symbol of - the alphabet in order; this is sufficient to determine the - actual codes. In our example, the code is completely defined - by the sequence of bit lengths (2, 1, 3, 3). The following - algorithm generates the codes as integers, intended to be read - from most- to least-significant bit. The code lengths are - initially in tree[I].Len; the codes are produced in - tree[I].Code. - - 1) Count the number of codes for each code length. Let - bl_count[N] be the number of codes of length N, N >= 1. - - 2) Find the numerical value of the smallest code for each - code length: - - code = 0; - bl_count[0] = 0; - for (bits = 1; bits <= MAX_BITS; bits++) { - code = (code + bl_count[bits-1]) << 1; - next_code[bits] = code; - } - - 3) Assign numerical values to all codes, using consecutive - values for all codes of the same length with the base - values determined at step 2. Codes that are never used - (which have a bit length of zero) must not be assigned a - value. - - for (n = 0; n <= max_code; n++) { - len = tree[n].Len; - if (len != 0) { - tree[n].Code = next_code[len]; - next_code[len]++; - } - - - -Deutsch Informational [Page 8] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - } - - Example: - - Consider the alphabet ABCDEFGH, with bit lengths (3, 3, 3, 3, - 3, 2, 4, 4). After step 1, we have: - - N bl_count[N] - - ----------- - 2 1 - 3 5 - 4 2 - - Step 2 computes the following next_code values: - - N next_code[N] - - ------------ - 1 0 - 2 0 - 3 2 - 4 14 - - Step 3 produces the following code values: - - Symbol Length Code - ------ ------ ---- - A 3 010 - B 3 011 - C 3 100 - D 3 101 - E 3 110 - F 2 00 - G 4 1110 - H 4 1111 - - 3.2.3. Details of block format - - Each block of compressed data begins with 3 header bits - containing the following data: - - first bit BFINAL - next 2 bits BTYPE - - Note that the header bits do not necessarily begin on a byte - boundary, since a block does not necessarily occupy an integral - number of bytes. - - - - - -Deutsch Informational [Page 9] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - BFINAL is set if and only if this is the last block of the data - set. - - BTYPE specifies how the data are compressed, as follows: - - 00 - no compression - 01 - compressed with fixed Huffman codes - 10 - compressed with dynamic Huffman codes - 11 - reserved (error) - - The only difference between the two compressed cases is how the - Huffman codes for the literal/length and distance alphabets are - defined. - - In all cases, the decoding algorithm for the actual data is as - follows: - - do - read block header from input stream. - if stored with no compression - skip any remaining bits in current partially - processed byte - read LEN and NLEN (see next section) - copy LEN bytes of data to output - otherwise - if compressed with dynamic Huffman codes - read representation of code trees (see - subsection below) - loop (until end of block code recognized) - decode literal/length value from input stream - if value < 256 - copy value (literal byte) to output stream - otherwise - if value = end of block (256) - break from loop - otherwise (value = 257..285) - decode distance from input stream - - move backwards distance bytes in the output - stream, and copy length bytes from this - position to the output stream. - end loop - while not last block - - Note that a duplicated string reference may refer to a string - in a previous block; i.e., the backward distance may cross one - or more block boundaries. However a distance cannot refer past - the beginning of the output stream. (An application using a - - - -Deutsch Informational [Page 10] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - preset dictionary might discard part of the output stream; a - distance can refer to that part of the output stream anyway) - Note also that the referenced string may overlap the current - position; for example, if the last 2 bytes decoded have values - X and Y, a string reference with <length = 5, distance = 2> - adds X,Y,X,Y,X to the output stream. - - We now specify each compression method in turn. - - 3.2.4. Non-compressed blocks (BTYPE=00) - - Any bits of input up to the next byte boundary are ignored. - The rest of the block consists of the following information: - - 0 1 2 3 4... - +---+---+---+---+================================+ - | LEN | NLEN |... LEN bytes of literal data...| - +---+---+---+---+================================+ - - LEN is the number of data bytes in the block. NLEN is the - one's complement of LEN. - - 3.2.5. Compressed blocks (length and distance codes) - - As noted above, encoded data blocks in the "deflate" format - consist of sequences of symbols drawn from three conceptually - distinct alphabets: either literal bytes, from the alphabet of - byte values (0..255), or <length, backward distance> pairs, - where the length is drawn from (3..258) and the distance is - drawn from (1..32,768). In fact, the literal and length - alphabets are merged into a single alphabet (0..285), where - values 0..255 represent literal bytes, the value 256 indicates - end-of-block, and values 257..285 represent length codes - (possibly in conjunction with extra bits following the symbol - code) as follows: - - - - - - - - - - - - - - - - -Deutsch Informational [Page 11] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - Extra Extra Extra - Code Bits Length(s) Code Bits Lengths Code Bits Length(s) - ---- ---- ------ ---- ---- ------- ---- ---- ------- - 257 0 3 267 1 15,16 277 4 67-82 - 258 0 4 268 1 17,18 278 4 83-98 - 259 0 5 269 2 19-22 279 4 99-114 - 260 0 6 270 2 23-26 280 4 115-130 - 261 0 7 271 2 27-30 281 5 131-162 - 262 0 8 272 2 31-34 282 5 163-194 - 263 0 9 273 3 35-42 283 5 195-226 - 264 0 10 274 3 43-50 284 5 227-257 - 265 1 11,12 275 3 51-58 285 0 258 - 266 1 13,14 276 3 59-66 - - The extra bits should be interpreted as a machine integer - stored with the most-significant bit first, e.g., bits 1110 - represent the value 14. - - Extra Extra Extra - Code Bits Dist Code Bits Dist Code Bits Distance - ---- ---- ---- ---- ---- ------ ---- ---- -------- - 0 0 1 10 4 33-48 20 9 1025-1536 - 1 0 2 11 4 49-64 21 9 1537-2048 - 2 0 3 12 5 65-96 22 10 2049-3072 - 3 0 4 13 5 97-128 23 10 3073-4096 - 4 1 5,6 14 6 129-192 24 11 4097-6144 - 5 1 7,8 15 6 193-256 25 11 6145-8192 - 6 2 9-12 16 7 257-384 26 12 8193-12288 - 7 2 13-16 17 7 385-512 27 12 12289-16384 - 8 3 17-24 18 8 513-768 28 13 16385-24576 - 9 3 25-32 19 8 769-1024 29 13 24577-32768 - - 3.2.6. Compression with fixed Huffman codes (BTYPE=01) - - The Huffman codes for the two alphabets are fixed, and are not - represented explicitly in the data. The Huffman code lengths - for the literal/length alphabet are: - - Lit Value Bits Codes - --------- ---- ----- - 0 - 143 8 00110000 through - 10111111 - 144 - 255 9 110010000 through - 111111111 - 256 - 279 7 0000000 through - 0010111 - 280 - 287 8 11000000 through - 11000111 - - - -Deutsch Informational [Page 12] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - The code lengths are sufficient to generate the actual codes, - as described above; we show the codes in the table for added - clarity. Literal/length values 286-287 will never actually - occur in the compressed data, but participate in the code - construction. - - Distance codes 0-31 are represented by (fixed-length) 5-bit - codes, with possible additional bits as shown in the table - shown in Paragraph 3.2.5, above. Note that distance codes 30- - 31 will never actually occur in the compressed data. - - 3.2.7. Compression with dynamic Huffman codes (BTYPE=10) - - The Huffman codes for the two alphabets appear in the block - immediately after the header bits and before the actual - compressed data, first the literal/length code and then the - distance code. Each code is defined by a sequence of code - lengths, as discussed in Paragraph 3.2.2, above. For even - greater compactness, the code length sequences themselves are - compressed using a Huffman code. The alphabet for code lengths - is as follows: - - 0 - 15: Represent code lengths of 0 - 15 - 16: Copy the previous code length 3 - 6 times. - The next 2 bits indicate repeat length - (0 = 3, ... , 3 = 6) - Example: Codes 8, 16 (+2 bits 11), - 16 (+2 bits 10) will expand to - 12 code lengths of 8 (1 + 6 + 5) - 17: Repeat a code length of 0 for 3 - 10 times. - (3 bits of length) - 18: Repeat a code length of 0 for 11 - 138 times - (7 bits of length) - - A code length of 0 indicates that the corresponding symbol in - the literal/length or distance alphabet will not occur in the - block, and should not participate in the Huffman code - construction algorithm given earlier. If only one distance - code is used, it is encoded using one bit, not zero bits; in - this case there is a single code length of one, with one unused - code. One distance code of zero bits means that there are no - distance codes used at all (the data is all literals). - - We can now define the format of the block: - - 5 Bits: HLIT, # of Literal/Length codes - 257 (257 - 286) - 5 Bits: HDIST, # of Distance codes - 1 (1 - 32) - 4 Bits: HCLEN, # of Code Length codes - 4 (4 - 19) - - - -Deutsch Informational [Page 13] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - (HCLEN + 4) x 3 bits: code lengths for the code length - alphabet given just above, in the order: 16, 17, 18, - 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15 - - These code lengths are interpreted as 3-bit integers - (0-7); as above, a code length of 0 means the - corresponding symbol (literal/length or distance code - length) is not used. - - HLIT + 257 code lengths for the literal/length alphabet, - encoded using the code length Huffman code - - HDIST + 1 code lengths for the distance alphabet, - encoded using the code length Huffman code - - The actual compressed data of the block, - encoded using the literal/length and distance Huffman - codes - - The literal/length symbol 256 (end of data), - encoded using the literal/length Huffman code - - The code length repeat codes can cross from HLIT + 257 to the - HDIST + 1 code lengths. In other words, all code lengths form - a single sequence of HLIT + HDIST + 258 values. - - 3.3. Compliance - - A compressor may limit further the ranges of values specified in - the previous section and still be compliant; for example, it may - limit the range of backward pointers to some value smaller than - 32K. Similarly, a compressor may limit the size of blocks so that - a compressible block fits in memory. - - A compliant decompressor must accept the full range of possible - values defined in the previous section, and must accept blocks of - arbitrary size. - -4. Compression algorithm details - - While it is the intent of this document to define the "deflate" - compressed data format without reference to any particular - compression algorithm, the format is related to the compressed - formats produced by LZ77 (Lempel-Ziv 1977, see reference [2] below); - since many variations of LZ77 are patented, it is strongly - recommended that the implementor of a compressor follow the general - algorithm presented here, which is known not to be patented per se. - The material in this section is not part of the definition of the - - - -Deutsch Informational [Page 14] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - - specification per se, and a compressor need not follow it in order to - be compliant. - - The compressor terminates a block when it determines that starting a - new block with fresh trees would be useful, or when the block size - fills up the compressor's block buffer. - - The compressor uses a chained hash table to find duplicated strings, - using a hash function that operates on 3-byte sequences. At any - given point during compression, let XYZ be the next 3 input bytes to - be examined (not necessarily all different, of course). First, the - compressor examines the hash chain for XYZ. If the chain is empty, - the compressor simply writes out X as a literal byte and advances one - byte in the input. If the hash chain is not empty, indicating that - the sequence XYZ (or, if we are unlucky, some other 3 bytes with the - same hash function value) has occurred recently, the compressor - compares all strings on the XYZ hash chain with the actual input data - sequence starting at the current point, and selects the longest - match. - - The compressor searches the hash chains starting with the most recent - strings, to favor small distances and thus take advantage of the - Huffman encoding. The hash chains are singly linked. There are no - deletions from the hash chains; the algorithm simply discards matches - that are too old. To avoid a worst-case situation, very long hash - chains are arbitrarily truncated at a certain length, determined by a - run-time parameter. - - To improve overall compression, the compressor optionally defers the - selection of matches ("lazy matching"): after a match of length N has - been found, the compressor searches for a longer match starting at - the next input byte. If it finds a longer match, it truncates the - previous match to a length of one (thus producing a single literal - byte) and then emits the longer match. Otherwise, it emits the - original match, and, as described above, advances N bytes before - continuing. - - Run-time parameters also control this "lazy match" procedure. If - compression ratio is most important, the compressor attempts a - complete second search regardless of the length of the first match. - In the normal case, if the current match is "long enough", the - compressor reduces the search for a longer match, thus speeding up - the process. If speed is most important, the compressor inserts new - strings in the hash table only when no match was found, or when the - match is not "too long". This degrades the compression ratio but - saves time since there are both fewer insertions and fewer searches. - - - - - -Deutsch Informational [Page 15] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - -5. References - - [1] Huffman, D. A., "A Method for the Construction of Minimum - Redundancy Codes", Proceedings of the Institute of Radio - Engineers, September 1952, Volume 40, Number 9, pp. 1098-1101. - - [2] Ziv J., Lempel A., "A Universal Algorithm for Sequential Data - Compression", IEEE Transactions on Information Theory, Vol. 23, - No. 3, pp. 337-343. - - [3] Gailly, J.-L., and Adler, M., ZLIB documentation and sources, - available in ftp://ftp.uu.net/pub/archiving/zip/doc/ - - [4] Gailly, J.-L., and Adler, M., GZIP documentation and sources, - available as gzip-*.tar in ftp://prep.ai.mit.edu/pub/gnu/ - - [5] Schwartz, E. S., and Kallick, B. "Generating a canonical prefix - encoding." Comm. ACM, 7,3 (Mar. 1964), pp. 166-169. - - [6] Hirschberg and Lelewer, "Efficient decoding of prefix codes," - Comm. ACM, 33,4, April 1990, pp. 449-459. - -6. Security Considerations - - Any data compression method involves the reduction of redundancy in - the data. Consequently, any corruption of the data is likely to have - severe effects and be difficult to correct. Uncompressed text, on - the other hand, will probably still be readable despite the presence - of some corrupted bytes. - - It is recommended that systems using this data format provide some - means of validating the integrity of the compressed data. See - reference [3], for example. - -7. Source code - - Source code for a C language implementation of a "deflate" compliant - compressor and decompressor is available within the zlib package at - ftp://ftp.uu.net/pub/archiving/zip/zlib/. - -8. Acknowledgements - - Trademarks cited in this document are the property of their - respective owners. - - Phil Katz designed the deflate format. Jean-Loup Gailly and Mark - Adler wrote the related software described in this specification. - Glenn Randers-Pehrson converted this document to RFC and HTML format. - - - -Deutsch Informational [Page 16] - -RFC 1951 DEFLATE Compressed Data Format Specification May 1996 - - -9. Author's Address - - L. Peter Deutsch - Aladdin Enterprises - 203 Santa Margarita Ave. - Menlo Park, CA 94025 - - Phone: (415) 322-0103 (AM only) - FAX: (415) 322-1734 - EMail: <ghost@aladdin.com> - - Questions about the technical content of this specification can be - sent by email to: - - Jean-Loup Gailly <gzip@prep.ai.mit.edu> and - Mark Adler <madler@alumni.caltech.edu> - - Editorial comments on this specification can be sent by email to: - - L. Peter Deutsch <ghost@aladdin.com> and - Glenn Randers-Pehrson <randeg@alumni.rpi.edu> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Deutsch Informational [Page 17] - |