A Comparative Study of Image Compression Techniques9th J&K Science Congress and Regional Science Congress, 1-3 October, 2013 (2013)
The spread of computing has led to the need for storage and transmission of massive volume of image data. This growth has led to a need for Image data compression. Transformation codings are considered to be standard techniques for image data compression. Many studies related to use of these techniques in image compression have been reported in literature. Among these Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) based image codec’s are used widely due to their improved performance and efficiency. In comparison to DWT, DCT has some short comings such as i) it lacks multi-resolution property, ii) offers less compression ratio, iii) fixed functions, and iv) blocking artifacts. DWT has overcome these problems and also offers a number of properties such as region of interest, better energy compaction, and adaptive spatial-frequency resolution, allows good localization both in time and spatial frequency domain. In this paper, major lossy and lossless compression techniques have been studied and compared in terms of Mean square error (MSE), Peak signal to noise ratio (PSNR), and Compression Ratio (Cr).
- Discrete Cosine Transform; Discrete Wavelet Transform; Mean square error; Peak signal to noise ratio; Compression Ratio.
Publication DateWinter October 1, 2013
Citation InformationBanday, M. T. Shah, T.J. (2013). A Comparative Study of Image Compression Techniques. 9th J&K Science Congress and Regional Science Congress, 1-3 October, 2013, pp.1-4. DOI: 10.13140/RG.2.1.3840.6169
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