jpeg2000 compression

the demand of multimedia image data. For the next century multimedia imaging applications, we need to be able to provide higher compression efficiency and more recent features of the new generation of image compression technology. In order to practice this dream, the new generation of static image compression standards, JPEG 2000, began to set up.

"DSP development" using CCS5.4 to develop DSP6455-based JPEG2000 image decompression processDisclaimer: Reference Please specify source http://blog.csdn.net/lg1259156776/Description: The front-end is the time based on the VS2010 project, the implementation of the openjpeg2000 on Windows, the implementation of the data from memory to extract the work of decompression. As some technical reserves are needed, they are ported to DSP6455 for decompression.

Pillow support for JPEG2000 comes from Openjpeg 2 library. Unfortunatly, Ubuntu's LIBOPENJPEG2 package isn't version 2 of the Openjpeg library, but actually version 1.3 which wont Work with Pillow.Installing Pillow 2.4 (pip Install-i Pillow) Simply results in"Openjpeg (JPEG2000) Support not available".Thus, it's needed to compile the Openjpeg Library 2.0 from source. For this, first lets download the Openjp

Tags: gzip xz bzip2Note content:L 6.1 Compression Packaging Introduction L 6.2 gzip compression tool L 6.3 bzip2 compression tool L 6.4 xz compression tool Note Date:2017.8.56.1 Compression Packaging Introduction 650) this.width=650; "src=" Https://s1.51cto.com/wyfs02/M02/08

in the network and CD-ROM books, can find its figure. At present, all kinds of browsers support JPEG image format, because the file size of JPEG format is small and download speed is fast.　　JPEG2000 file format: Discrete wavelet transform of lossy and lossless compression 　　 The JPEG2000 as an upgraded version of JPEG with a

/* * @brief compress picture @Fire * * @param originimage Original image * @param pc is pixel compressed * @param the maximum pixel length and width of maxpixel after compression; Pc=no, this parameter is invalid. * @param JC is JPEG compressed * @param maxkb Picture maximum volume, in kilobytes, this parameter is invalid when Jc=no. * * @return return picture of NSData */-(nsdata*) Compressimage: (uiimage*) originimage pixelcompress: (BOOL) PC Maxpix

the proportionBitmap cutedImage = CutImage (srcImage, newX, newY, newW, newH );// Saved fileBitmap B = new Bitmap (iWidth, iHeight );Graphics g = Graphics. FromImage (B );// Quality of interpolation algorithmsG. InterpolationMode = InterpolationMode. Default;G. DrawImage (cutedImage, new Rectangle (0, 0, iWidth, iHeight), new Rectangle (0, 0, cutedImage. Width, cutedImage. Height), GraphicsUnit. Pixel );G. Dispose ();Return B;}Catch (Exception){Return null;}} 4.jpeg image quality

, adjust the ordinate that begins to intercept Newy = math.abs (int. Parse (Math.Round (double) srcimage.height-(double) NEWH)/2). ToString ())); } Obtaining a proportionate temporary document Bitmap cutedimage = Cutimage (Srcimage, Newx, Newy, NEWW, NEWH); Files saved to Bitmap B = new Bitmap (iwidth, iheight); Graphics g = graphics.fromimage (b); The quality of interpolation algorithm G.interpolationmode = Interpolationmode.default; G.drawimage (Cutedimage, New Rectangle (0, 0, iwidt

Before the introduction, a simple say asp.net service side gzip compression module function and working principle, a lot of people write the page because of the use of a lot of JS special effects or put a lot of large dynamic ads caused the page or script bulky, Usually use some compression tools local to the page or script to a certain compression and then uploa

proportionBitmap cutedImage = CutImage (srcImage, newX, newY, newW, newH );// Saved fileBitmap B = new Bitmap (iWidth, iHeight );Graphics g = Graphics. FromImage (B );// Quality of interpolation algorithmsG. InterpolationMode = InterpolationMode. Default;G. DrawImage (cutedImage, new Rectangle (0, 0, iWidth, iHeight), new Rectangle (0, 0, cutedImage. Width, cutedImage. Height), GraphicsUnit. Pixel );G. Dispose ();Return B;}Catch (Exception){Return null;}} 4.jpeg image quality

Compression capabilities for Oracle databasesEveryone heard this word, must have thought of saving hard disk space it. Yes, it is used to do this, but to extend it, it can not only save hard disk space, but also save bandwidth and memory usage (CPU has a little bit of loss because of the need for more compute value operation, but because most of the environment the CPU is idle, so it can be ignored).Basiccompression This feature is available from 9i o

Requie.js and Backbone.js here will not say, can go to see the official documents, are very detailed!But using the require.js default with the compression mode is not very convenient, so this paper mainly use r.js compression, to achieve local non-compression, production environment compressionR.js is run on node, and Uglifyjs is used by default. Uglifyjs really

The difference between basic table compression and advanced compression,Excerpt from MOS article difference between Basic Table Compression and Advanced Compression (Doc ID 1548187.1)Suitable for:Oracle database-enterprise edition-version 10.2.0.5 and laterInformation in this document applies to any platform.Goal:What'

Anatomy of SQL Server 13th integers storage format in row compression and page compression (translated)http://improve.dk/the-anatomy-of-row-amp-page-compressed-integers/When resolving orcamdf support for row compression, the view has encountered some challenges when parsing integers.Unlike normal uncompressed integer storage, these are variable lengths-meaning th

Before introducing image compression encoding, consider the following question: why compression? You don't need to answer this question. Because the amount of data in the image information is amazing. For example, we can see that the data volume of an A4 (210mm * 297mm) image scanned with a medium-resolution (300 dpi) Scanner Based on the actual color? Let's calculate: there are a total of (300*210/25 .4) *

Huffman algorithm is also a lossless compression algorithm, but unlike LZW compression algorithm, Huffman need to get a priori knowledge of the probability of each character appearing. By calculating the frequency of each character in a sequence of characters, a unique coding design is made for each character, so that the characters with high frequency have a short number of digits, and the frequency is low

　　What is appropriate for NTFS compression? Files that are rarely accessed-if you use these files infrequently, the speed at which compression can be reduced is basically imperceptible. Uncompressed format file--office documents, text documents, PDF and other types of file compression rate will be more significant, and MP3, JPEG and video files in their own com

You can browse the bold section first One, the common compression file *.zip | Zip program compresses packaged files; (very common, but because it does not contain document name encoding information, cross-platform may be garbled)*.rar | The WinRAR process compresses packaged files; (Common on Windows, but commercial software.) ）*.gz | Gzip program compressed files; (Linux is currently the most widely used

Today's curriculum design is finally finished, has done nearly a week of Huffman also temporarily over. During the period of compression, but also opened up the vision, and know a head file Compression: while (Str.size () >= 8) { string str2 (str, 0, 8); Read the top 8 bitset We're not going to be so lucky when we compress. Just 8 bits, we need to deal with, judge the last

. tarUnpacking: Tar xvf Filename.tarPackage: Tar cvf filename.tar DirName(Note: Tar is packaged, not compressed!) ）---------------------------------------------. gzDecompression 1:gunzip filename.gzDecompression 2:gzip-d filename.gzCompression: gzip FileName. tar.gzDecompression: Tar zxvf FileName.tar.gzCompression: Tar zcvf FileName.tar.gz DirName--------------------------------------------- . bz2Decompression 1:bzip2-d filename.bz2Decompression 2:BUNZIP2 filename.bz2Compression: Bzip2-z FileNa