Novel Image Compression Technique with Improved Wavelet Method
Geetika1, Jyoti Chopra2
1Assistant Professor Geetika ,Department of Computer Science and Engg., Doon Valley College of Engg and Technology, Karnal (Haryana), India.
2Scholar Jyoti Chopra, Department of Computer Science and Engg, Doon Valley College of Engg. and Technology, Karnal (Haryana), India.
Manuscript received on 18 June 2012 | Revised Manuscript received on 25 June 2012 | Manuscript published on 30 June 2012 | PP: 109-111 | Volume-1 Issue-2, June 2012 | Retrieval Number: B0223051212/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages. . This would imply the need for a compression scheme that would give a very high compression ratio very high compression ratio usually comes with a price. This refers to the quality of the image. Wavelet method for compression gives better vision and quality. In our case we are taking the Modified Haar wavelet transformation (MFHWT) method with SVD. This research work will not only compress the images but also take care for the loss of information.
Keywords: Wavelet , Haar, MFHWT, SVD.
Scope of the Article: Image Processing