Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1879
Title: A Comparative Study of DCT, DWT & Hybrid (DCT-DWT) Transform
Authors: Deshlahra, A
Shirnewar, G S
Sahoo, A K
Keywords: Image compression
DCT
DWT
HYBRID (DCT+DWT
Issue Date: Feb-2013
Citation: International Conference on Emerging Trends in Computer and Image Processing(ICETCIP), IRD India, 24 February 2013, Bangalore
Abstract: Image compression is process to remove the redundant information from the image so that only essential information can be stored to reduce the storage size, transmission bandwidth and transmission time. The essential information is extracted by various transforms techniques such that it can be reconstructed without losing quality and information of the image. In this paper comparative analysis of image compression is done by three transform method, which are Discrete Cosine Transform (DCT),Discrete Wavelet Transform(DWT) & Hybrid (DCT+DWT) Transform. Matlab programs were written for each of the above method and concluded based on the results obtained that hybrid DWT-DCT algorithm performs much better than the standalone JPEG-based DCT, DWT algorithms in terms of peak signal to noise ratio (PSNR), as well as visual perception at higher compression ratio.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/1879
Appears in Collections:Conference Papers

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