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Deflate Compression Process The previous chapter covered the format of the Deflate compressed data within a chain of IDAT blocks While clearly a compressor uses the same structures for the data a decompressor does, compression is not simply a reversal of decompression The Deflate specification gives an outline of a compression process It recommends that this process be followed because of the patent minefield that surrounds any LZ compression process To implement Deflate compression we need to maintain a 32K or smaller power-of-2 window into the most recently processed uncompressed data bytes, just like the one used with decompression The compression process requires an additional lookahead window into the data yet to be compressed Starting from the beginning of the lookahead buffer we try to find the longest substring that has a match in the LZ77 sliding window Since the longest match allowed by Deflate is 258 bytes, the lookahead window needs to be at least this long to get the longest possible matches Rounding the lookahead window up to the next power of 2 (512) makes wrapping in the window simpler Algorithm 151 illustrates the general compression process for PNG image data This is roughly the inverse of the DecodeBlock function shown in the previous chapter The length and distance values are converted to codes and literal bits using the code also shown in the previous chapter There are two significant omissions in Algorithm 151 In a PNG file the uffman tables precede the image data, so the encoder needs to generate them first The other missing piece is the method the encoder uses to locate matching strings in the LZ77 windows Finding Matching Strings in the LZ77 Window Finding the best match for the start of the lookahead buffer is the most time-consuming part of compressing PNG files A simple linear search would require 32K searches per string being compressed, which could easily amount to billions of search operations to compress an image file Instead of brute force, the approach recommended by the Deflate specification is to use a hash table where hash values are calculated using 3-byte sequences A hash table is a structure used to store objects that are accessed using a key, when the number of possible key values greatly exceeds the number of table entries at any given time Hash tables are most commonly used with string keys Many compiler implementations use hash tables to store variables defined by a module A typical source module for a compiler may have a few hundred variable names out of the billions upon billions of possibilities During PNG compression we have 32,768 entries with a maximum of 16 million possible values.

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Huffman Coding in Deflate The Huffman coding process used in PNG with Deflate is almost identical to the one used in JPEG ( 6) In fact, for the PNG decoder on the CD-ROM, we will only have to make small modifications to the JPEG Huffman decoder class These are the differences you need to be aware of between Huffman coding in JPEG and in PNG: In JPEG, the Huffman codes containing all 1 bits are invalid In PNG they are legal In JPEG, the maximum Huffman code length is 16 bits In PNG, lengths and distance codes are a maximum of 15 bits while the tables are encoded using a maximum of 4 bits In PNG, if values of X and Y have Huffman codes of the same length and X is greater than Y, the Huffman code for X is greater than the Huffman code for Y In JPEG, the ordering of Huffman codes matches the ordering of the values in the file In PNG, the Huffman codes are stored with their bits reversed The Huffman code 11002 (6) is stored as 01112 (3) in the compressed data In PNG, Huffman table definitions contain the Huffman code length for every possible value Unused values are given a code length of zero In JPEG, code lengths are only given for values that are actually used As with JPEG, the input to the Huffman table generation process is an array of values and an array of Huffman code lengths In PNG, the values re sorted by value rather than code length and the array contains zero length codes We have to add a step to sort these arrays by code length, and during the Huffman code generation we have to take into account the values with zero length codes Algorithm 142 illustrates the process for decoding a compressed block The procedures DecodeUsingLengthTable and DecodeUsingDistanceTable are assumed to Huffman decode the next value in the input stream using the literal/length and distance Huffman tables, respectively ReadLiteralBits (n) is a function that returns the next n bits from the input stream and CopyData is the function defined in Algorithm 141.

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Grayscale In the grayscale color type there is one component per image, and it represents the relative intensity of the pixel The grayscale color type can be used for all PNG bit depths n most systems a decoder will need to create a palette to display grayscale images using a process like the one shown in Algorithm 131. MAXPIXELVALUE. QR Code JIS X 0510 Encoder In Visual Studio .NET Using Barcode generation for .Related: EAN-8 Generating .NET , .NET UPC-E Generating , Generate ISBN .NET

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wwwvsoftsnet. Barcode Encoder In Java Using Barcode creation for Java Control to generate, create barcode image in .Conclusion In this chapter we introduced Huffman coding and covered it's implementation in JPEG compression Huffman coding is also used in PNG compression, and he basic method is the same in both formats In 14 we will cover the specific requirements for implementing Huffman coding in PNG Nelson (1992) has a more general description of Huffman coding Huffman (1952) contains its original description The JPEG standard JPEG (1994) is the source for the JPEG-specific requirements of Huffman coding The source code for this chapter on the accompanying CD-ROM contains classes for JPEG Huffman encoding (JpegHuffmanEncoder and JpegHuffmanDecoder) There is also an application called HUFFCOMP for compressing a file using Huffman coding, in which the command HUFFCOMP SOURCE-FILE COMPRESSED-FILE creates a compressed output file This application reduces the size of the King James Bible by about 44 percent The CD contains a corresponding application for expanding files, in which the command HUFFDECO COMPRESSED-FILE DESTINATION-FILE expands a file compressed with HUFFCOMP to its original state.Related: Create Intelligent Mail .NET

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t)(1 pnG ) min (t) = (1727) (nG /2 1) pnG where p .

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