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Authors
Affiliations
1 Department of ECE at Gokula Krishna College of Engg. Sullurpet- 524121, Nellore (Dist) A.P, IN
2 Rajeev Gandhi Memorial college of Engineering & Technology, Nandyal-518501, Kurnool (Dist) A.P, IN
3 Department of Electronics and Communication Engineering at J.N.T University College of
Engineering. Anantapur-515002, Andhrapradesh, IN
Source
Digital Image Processing, Vol 3, No 14 (2011), Pagination: 882-887
Abstract
The aim of this paper is to examine a set of wavelet functions (wavelets) for implementation in an image compression system and to highlight the benefit of 15/6 lifting based wavelet transform relating to today‟s methods. This paper discusses important features of wavelet transform in compression of still images, including the extent to which the quality of image is degraded by the process of wavelet compression and decompression. Image quality is measured objectively, using peak signal-to-noise ratio or picture quality scale. The effects of different wavelet functions, image contents and compression ratios are assessed. A comparison with a 5/3 wavelet-transform-based compression system is given. Our results provide a good reference for application developers to choose a good wavelet compression system for their application.
Keywords
15/6 and 13/9 Lifting Based Wavelet Transforms, DWT, Image Compression, Lifting Scheme.
