Color image compression algorithm based on the DCT transform combined to an adaptive block scanning

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,...

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Veröffentlicht in:International journal of electronics and communications Jg. 65; H. 1; S. 16 - 26
Hauptverfasser: Douak, Fouzi, Benzid, Redha, Benoudjit, Nabil
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier GmbH 2011
Schlagworte:
Adaptive scanning
Block-based DCT
Color image compression
Quality-controllability
YCbCr transform
Block-based DCT
Quality-controllability
Color image compression
YCbCr transform
Adaptive scanning
ISSN:1434-8411, 1618-0399
Online-Zugang:Volltext
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Zusammenfassung: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 ( n× n) 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.
ISSN:1434-8411
1618-0399
DOI:10.1016/j.aeue.2010.03.003