Color imagecompressionalgorithmbasedontheDCTtransformcombinedto an adaptiveblockscanning

dc.contributor.author	Fouzi Douak
dc.date.accessioned	2024-02-13T21:49:46Z
dc.date.available	2024-02-13T21:49:46Z
dc.date.issued	2011
dc.description.abstract	This paper considers the design of a lossy image compression algorithm dedicated to color still images. After a preprocessing step (mean removing and RGB to YCbCr transformation), the DCT transform is applied and followed by an iterative phase (using the bisection method) including the thresholding, the quantization, dequantization, the inverse DCT, YCbCr to RGB transform and the mean recovering. This is done in order to guarantee that a desired quality (fixed in advance using the well known PSNR metric) is checked. For the aim to obtain the best possible compression ratio CR, the next step is the application of a proposed adaptive scanning providing, for each (n, n) DCT block a corresponding (nxn) vector containing the maximum possible run of zeros at its end. The last step is the application of a modified systematic lossless encoder. The efficiency of the proposed scheme is demonstrated by results, especially, when faced to the method presented in the recently published paper based on the block truncation coding using pattern fitting principle.
dc.identifier.uri	http://dspace.univ-khenchela.dz:4000/handle/123456789/827
dc.language.iso	en
dc.publisher	Elsevier - Int. J.Electron.Commun.(AEU¨ )
dc.title	Color imagecompressionalgorithmbasedontheDCTtransformcombinedto an adaptiveblockscanning
dc.type	Article

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