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OALib Journal期刊
ISSN: 2333-9721
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Image Compression using DCT and DWT-Technique.

Keywords: Image Compression , DCT , DWT , PSNR , Coefficient , wavelets , multi-resolution , filter band coefficients , quality , Decompression , Simulink , Color Conversion , pixels , JPEG , JPEG2000 , transmission.

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Abstract:

This paper provides comparison between two image compression technique such as DCT and DWT. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used transformation. DCT has high energy compaction property and requires less computational resources. On the other hand, DWT is multi-resolution transformation. PSNR and Compression ratio are one of the parameter of image compression. DWT performs much better compression as well as visual perception at higher compression ratio. This scheme reduces “false contouring” and “blocking artifacts” significantly. The simulation results and different PSNR value shows that the DWT algorithm has better quality and efficiency but it takes longer time than DCT.

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