@article {14444,
	title = {Color image compression algorithm based on the DCT transform combined to an adaptive block scanning},
	journal = {International Journal of Electronics and communications (AEǗ)},
	volume = {65},
	number = {01},
	year = {2011},
	pages = {16 -26},
	abstract = {This paper considers the design of a lossy image\&nbsp;compression algorithm\&nbsp;dedicated to color still images. After a\&nbsp;preprocessing step\&nbsp;(mean removing and\&nbsp;RGB\&nbsp;to YCbCr transformation), the\&nbsp;DCT\&nbsp;transform is applied and followed by an iterative phase (using the bisection method) including the thresholding, the\&nbsp;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\&nbsp;PSNR\&nbsp;metric) is checked. For the aim to obtain the best possible\&nbsp;compression ratio\&nbsp;CR, the next step is the application of a proposed adaptive scanning providing, for each (n,\&nbsp;n) DCT block a corresponding (n{\texttimes}n) vector containing the maximum possible run of zeros at its end. The last step is the application of a modified systematic lossless\&nbsp;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\&nbsp;block truncation coding\&nbsp;using pattern fitting principle.},
	url = {http://www.sciencedirect.com/science/article/pii/S1434841110000695},
	author = {F. Douak and R. Benzid and N. Benoudjit}
}
