Influence of Golomb Rice and Run-length Encoding in Image Compression - An Analysis

Dr. A RAJESHKANNA , Dr. S. KIRAN , N. SUBRAMANYAN

Compression, Lossy image compression, Lossless image compression

An image is worth more than thousand words. In the present world, the use of digital images in communication has drastically increased. Raw images that are captured by digital cameras or created digitally have excess of redundant information that are not processed by the human eye and that does not hamper visual perception of image upon their elimination. Image compression technique removes this excess of information to make the images less in size and easily transferrable. Image compression is categorized as lossy and lossless compression. In lossless compression there is an absence of loss of data. Whereas, lossy compression-reduces a data by permanently eliminating certain information especially redundant data. The existing methods uses combination of various lossy compression techniques for compression that are applicable for tiff format images that are already reduced in their size [1]. The proposed method also uses combination of compression techniques along with frequency-based transformations on any uncompressed images by satisfying various performance parameters such as Compression ratio, SNR, PSNR and MSE

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"Influence of Golomb Rice and Run-length Encoding in Image Compression - An Analysis", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.704 - 711, March-2023, Available :https://ijsdr.org/papers/IJSDR2303114.pdf

Volume 8 Issue 3, March-2023

Pages : 704 - 711

Paper Reg. ID: IJSDR_204563

Published Paper Id: IJSDR2303114

Downloads: 000347209

Research Area: Computer Science & Technology 

Country: KADAPA DISTRICT, ANDHRA PRADESH, INDIA

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303114

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303114

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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