The present invention relates to a method and system for controlling the quality of video data by selecting the optimal quantization parameter during encoding. The system is configured to perform quantization for one or more macroblocks using a different range of step sizes, then the kurtosis for the respective quantized data is performed to determine the macroblock and the corresponding quantization step size that yields the highest kurtosis value. The quantization step size that generates the highest kurtosis value is selected to the blocks of input-video data during encoding.

A method and system for optimizing image sharpness during coding

Most discrete cosine transform (DCT) based video coding suffers from blocking artifacts, where boundaries of 8/spl times/8 DCT blocks become visible on decoded images. The blocking artifacts become more prominent as the bit rate is lowered. In this paper, we present a new dequantization technique for DCT-based encoding to sharply reduce the blocking artifacts. Our proposed dequantization scheme, through regularization, sharply reduces blocking artifacts in decoded images. The performance the proposed algorithm is compared to that of the currently specified H.263+ Annex J deblocking filter. The comparison shows visual improvements as well as numerical improvements in terms of the peak signal-to-noise ratio (PSNR) and of a blockiness measure (BM) that is defined.

Reduction of blocking artifacts for low bit-rate video coding using regularized dequantization

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Reduction of blocking artifacts for low bit-rate video coding using regularized dequantization