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Recent Image Compression Algorithms A Survey
SARANG BANSOD, SHWETA JAIN M.tech. Scholar, Dept. of Computer Science & Engg, RCOEM, Nagpur, India Lecturer, Dept. of Computer Science & Engg, RCOEM, Nagpur, India
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Abstract: This paper presents the short survey on some of the recent non transformation based image compression algorithms. It covers the different techniques for the purpose. Paper describes harmony search, various algorithms on block truncation coding and fractal compression techniques. These algorithms are based on the lossy compression of images. Paper also gives the overview regarding some traditional techniques used for image compression. Compression refers to the reduction of the size of the data that images contain. Redundant data can be considered as repeated or irrelevant information. Eliminating statistically redundant data often yields reversible or lossless compression while eliminating visually irrelevant data inflicts losses on the reconstructed image, which is the method implemented by lossy compression techniques.
Keywords: image compression, lossless compression, lossy compression, PSNR, HSA, BTC, quantization, fractal.
Keywords: image compression, lossless compression, lossy compression, PSNR, HSA, BTC, quantization, fractal.
How to Cite:
[1] SARANG BANSOD, SHWETA JAIN M.tech. Scholar, Dept. of Computer Science & Engg, RCOEM, Nagpur, India Lecturer, Dept. of Computer Science & Engg, RCOEM, Nagpur, India, βRecent Image Compression Algorithms A Survey,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
