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Conclusion In this chapter we have covered the process for creating PNG files, which is essentially the reverse of the one used to read them As in JPEG, the implementer of a compressor has to make arbitrary choices about the how to do the compression process, such as how big to make the IDAT chunks, when to create a new Deflate block, how far to search in the hash chains, and which filters to use Methods for selecting the best filter are still an area of exploration The PNG format should become more common in the near future The source code for this chapter on the accompanying CD-ROM is a PNG encoding class, PngEncoder, which uses a PNG Huffman encoding class that is nearly identical to the equivalent JPEG class shown in 6 The only significant differences are in the BuildTable function The PNG version does not have a special value to ensure that no Huffman code consists of all 1-bits and it ensures that the ordering of Huffman codes matches the ordering of the values The encoder class's SetUseFiIters function specifies whether or not filters are used in the compression process The SetCompressionLevel function controls the maximum depth to which the hash chains are searched and the SetBlocksize function controls the size of the compression buffer There is also a sample encoder that converts Windows BMP files to PNG format The command sequence for this application is ENCODER [-f -F -M] inputbmp outputpng -f Use Filters -F Use Fastest Compression -M Use Maximum Compression This brings to an end our discussion of the PNG format and ith it an end to the book We hope that you have learned how to read and write images using the most common formats.

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MSI Plessey In .NET Framework Using Barcode generation for .NET framework Control to generate, create MSI Plessey .Decompressing PNG Image Data sion method to replace it The solution came in he form of a general-purpose compression library known as ZLIB ZLIB employs an LZ77-based compression process known as Deflate, which had its origins in the ZIP and PKZIP programs The compression source code within ZIP was too tightly bound to the application for general use, so JeanLoupe Gailly and Mark Adler created ZLIB to implement Deflate compression in a manner that can be used by other applications ZLIB has been used not only in PNG but in the GZIP archiving program as well Currently, Deflate is the only compression method supported by ZLIB, but the ZLIB format has provisions for other methods to be added in the future For this discussion we are going to describe ZLIB and Deflate only as they apply to PNG Not all settings that are valid in ZLIB/Deflate are legal when used in PNG files The source code examples in this and the following chapters contain implementations of the PNG subset of Deflate.Related: Print Intelligent Mail .NET

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Huffman Table Generation A PNG encoder can either use the fixed Huffman codes shown in Table 149 or generate Huffman codes based on usage frequencies It is simpler to implement fixed Huffman codes but there is obviously a penalty when it comes to compression Unless you are working with an application where compression speed is critical, there is really no reason to use fixed Huffman codes 6 covered Huffman coding as it applies to JPEG The same process with a few modifications will work with a Huffman encoder The differences between Huffman table generation in JPEG and PNG were listed in the previous chapter When we used Huffman coding in JPEG, we generated the Huffman table by making two nearly identical passes over the image data The first pass gathered usage frequencies After generating the Huffman tables from the usage frequencies, the second pass repeated the steps of the first pass except that the data was Huffman encoded Such a scheme can be used to encode PNG image data but there are a couple of significant drawbacks The main problem with having two nearly identical passes is the time required to compress an image The process of searching the LZ77 window for matching strings is significantly more processing intensive than is JPEG entropy encoding Performing PNG compression process twice lengthens the compression time noticeably A good solution to this roblem is to store the literal/length and distance codes in a buffer A simple method for implementing such a buffer would be to. QR-Code In Visual Basic .NET Using Barcode maker for VS .NET Control to generate, create QR Code .Related: 

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Your stack segment should be defined in your main program module External modules should have none they use the one defined by the programs that call them Recall that in real mode segmented model, there is only one stack in operation at any given time, and that the one you define in your program is used by everything running on your machine including the operating system while your program has control External modules may have a data segment If the external is to define a variable that is to be shared by the main program or by other externals, it obviously must have a data segment for that variable to reside in But less obviously, if the external is to share a variable with another external or with the main program, it must still define a data segment, even if that data segment is empty except for the external declaration If a segment (whether a code segment or a data segment) is to export anything, that segment must be declared public This is done with the PUBLIC keyword, which instructs the linker to make access to the segment possible from outside the module that contains the segment: SEGMENT data PUBLIC SEGMENT code PUBLIC This is easier to demonstrate than to explain Take a look at the following external module, which is a library containing all of the simple display control procedures introduced in EAT3ASM: ; ; ; ; ; ; ; ; ; ; ; ; ; Source name Compiled name Code model: Version Created date Last update Author Description : : : : : : : : VIDLIBASM VIDLIBOBJ Real mode segmented model 10 9/12/1999 9/12/1999 Jeff Duntemann A simple example of a separately assembled module containing utility procedures for controlling the PC display Assembled using NASM 098 DOS programs can link to these routines by declaring them EXTERN and then linking the program OBJ to IDLIBOBJ using a linker like ALINK ; Set 16 bit code generation.

4 Create a program that nds les based on speci ed criteria (rather like the Unix find program) The usage should be findpy options files_or_paths All the options are optional, and without them all the les listed on the command line and all the les in the directories listed on the command line (and in their directories, recursively) should be listed The options should restrict which les are output as follows: -d or --days integer discards any les older than the speci ed number of days; -b or --bigger integer discards any les smaller than the speci ed number of bytes; -s or --smaller integer discards any les bigger than the speci ed number of bytes; -o or --output what where what is date , size , or date,size (either way around) speci es what should be output lenames should always be output; -u or --suffix discards any les that don t have a matching suf x (Multiple suf xes can be given if comma-separated) For both the bigger and smaller options, if the integer is followed by k it should be treated as kilobytes and multipled by 1024, and similarly if followed by m treated as megabytes and multiplied by 10242 For example, findpy -d1 -o date,size ** will nd all les modi ed today (strictly, the past 24 hours), and output their name, date, and size Similarly, findpy -b1m -u png,jpg,jpeg -o size ** will nd all image les bigger than one megabyte and output their names and sizes Implement the program s logic by creating a pipeline using coroutines to provide matchers, similar to what we saw in the coroutines subsection, only this time pass (filename, osstat()) 2-tuples for each le rather than just lenames Also, try to close all the pipeline components at the end In the solution provided, the biggest single function is the one that handles the command-line options The rest is fairly straightforward, but not trivial The findpy solution is around 70 lines.

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