Art Image Compression Based on Lossless LZW Hashing Ciphering Algorithm
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Publication Date
Fri May 16 2014
Journal Name
International Journal Of Computer Applications
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Publication Date
Fri Apr 01 2016
Journal Name
Iosr Journal Of Computer Engineering
(1)
Publication Date
Fri Apr 01 2016
Journal Name
Iosr Journal Of Computer Engineering
(1)
Publication Date
Sat Jun 01 2019
Journal Name
International Journal Of Computer Science And Mobile Computing
Publication Date
Fri May 17 2013
Journal Name
International Journal Of Computer Applications
Fast Lossless Compression of Medical Images based on Polynomial
Polynomial approximation within high synthetic coding
architecture for lossless image compression
In this paper, a fast lossless image compression method is introduced for compressing medical images, it is based on splitting the image blocks according to its nature along with using the polynomial approximation to decompose image signal followed by applying run length coding on the residue part of the image, which represents the error caused by applying polynomial approximation. Then, Huffman coding is applied as a last stage to encode the polynomial coefficients and run length coding. The test results indicate that the suggested method can lead to promising performance.
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Publication Date
Sun May 01 2016
Journal Name
International Journal Of Computer Applications
Publication Date
Fri Aug 23 2013
Journal Name
International Journal Of Computer Applications
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Publication Date
Mon Mar 20 2023
Journal Name
2023 International Conference On Information Technology, Applied Mathematics And Statistics (icitams)
Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Developed JPEG Algorithm Applied in Image Compression
Abstract<p>JPEG is most popular image compression and encoding, this technique is widely used in many applications (images, videos and 3D animations). Meanwhile, researchers are very interested to develop this massive technique to compress images at higher compression ratios with keeping image quality as much as possible. For this reason in this paper we introduce a developed JPEG based on fast DCT and removed most of zeros and keeps their positions in a transformed block. Additionally, arithmetic coding applied rather than Huffman coding. The results showed up, the proposed developed JPEG algorithm has better image quality than traditional JPEG techniques.</p>
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Publication Date
Sat Aug 01 2015
Journal Name
International Journal Of Computer Science And Mobile Computing