Performance Analysis of Compression Techniques Using SVD,BTC, DCT and GP

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1

Abstract

 Abstract: Digital image compression techniques minimize the size in bytes of a graphics file without degradingthe quality of the image to an acceptable level. The reduction in file size allows more images to be stored in agiven amount of disk or memory space. The proposed paper summarizes the different compression techniquessuch as Singular Value Decomposition, Block Truncation Coding, Discrete Cosine Transform and GaussianPyramid on the basis of Peak Signal to Noise Ratio, Mean Squared Error, Bit Rate to evaluate the image qualityfor both gray and RGB images. The comparison of these compression techniques are classified according todifferent biometric images.

Authors and Affiliations

K. C. Chandra Sekaran , Dr. K. Kuppusamy

Keywords

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  • EP ID EP111024
  • DOI -
  • Views 114
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How To Cite

K. C. Chandra Sekaran, Dr. K. Kuppusamy (2015).  Performance Analysis of Compression Techniques Using SVD,BTC, DCT and GP. IOSR Journals (IOSR Journal of Computer Engineering), 17(1), 6-11. https://europub.co.uk/articles/-A-111024