Guest
14-05-2016, 03:11 AM
thank uuuuuuuuuuuuuuuuuuuuuuu veryyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy matchhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
14-05-2016, 03:11 AM
17-05-2016, 12:00 PM
These programs have been compiled and used by a lot of users, in many computers, and in all continents except Antarctica. The supplied executables are run from the UNIX or DOS command line prompt. Don't get discouraged if something goes wrong. Look for command syntax or path specification errors.
Still Images
The programs immediately below implement compression and decompression of monochrome or color still images stored in headerless format, 1 or 2 bytes per pel. The *.z and *.gz files have been compressed with gzip and must be decompressed with gunzip. The archive files with .tar extensions (after decompression) are exploded with tar xvf.
The files with .zip extensions are Windows/DOS files and can be exploded using WinZip or PKUNZIP.
Source Code
!NEW SPIHT in MATLAB Programming Language
We have made publicly available a demonstration version of SPIHT image compression programmed in MATLAB language. Please read the document mSpiht_Readme.pdf for program information and license terms that incorporate the GNU Public License. Download MATLAB-SPIHT.
You may obtain independently developed source code for the SPIHT monochrome image codec free of charge under the conditions of the General GNU License in the program library QccPack as an optional module named QccPackSPIHT.
The following programs do reversible (lossless) image compression. They do not use SPIHT.
lossless.tar.gz and lossless.zip
Compressed archive file for reversible (truly perfect) compression/decompression programs. These programs are inherently progressive in resolution, but currently the decoder outputs only the final full size image. See *.doc (embedded) file for compiling & running instructions.
Executable Program Code
The compressed archive file packages below contain the SPIHT image compression/decompression programs (codecs). There are four codecs: one for color images and three for monochrome images. Among the monochrome codecs, two are for progressive lossy to quasi-perfect reconstruction, with different coding speeds. Finally, there is also a codec for progressive reconstruction up to truly perfect reconstruction. File SPIHT.doc has the instructions for running the programs and more details about the different codecs.
Still Images
The programs immediately below implement compression and decompression of monochrome or color still images stored in headerless format, 1 or 2 bytes per pel. The *.z and *.gz files have been compressed with gzip and must be decompressed with gunzip. The archive files with .tar extensions (after decompression) are exploded with tar xvf.
The files with .zip extensions are Windows/DOS files and can be exploded using WinZip or PKUNZIP.
Source Code
!NEW SPIHT in MATLAB Programming Language
We have made publicly available a demonstration version of SPIHT image compression programmed in MATLAB language. Please read the document mSpiht_Readme.pdf for program information and license terms that incorporate the GNU Public License. Download MATLAB-SPIHT.
You may obtain independently developed source code for the SPIHT monochrome image codec free of charge under the conditions of the General GNU License in the program library QccPack as an optional module named QccPackSPIHT.
The following programs do reversible (lossless) image compression. They do not use SPIHT.
lossless.tar.gz and lossless.zip
Compressed archive file for reversible (truly perfect) compression/decompression programs. These programs are inherently progressive in resolution, but currently the decoder outputs only the final full size image. See *.doc (embedded) file for compiling & running instructions.
Executable Program Code
The compressed archive file packages below contain the SPIHT image compression/decompression programs (codecs). There are four codecs: one for color images and three for monochrome images. Among the monochrome codecs, two are for progressive lossy to quasi-perfect reconstruction, with different coding speeds. Finally, there is also a codec for progressive reconstruction up to truly perfect reconstruction. File SPIHT.doc has the instructions for running the programs and more details about the different codecs.