An Efficient Rate Distortion Approach for Video Compression
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Most rate-distortion optimized quantization methods of video coding involve an exhaustive search process to determine the optimal quantized transform coefficients of a coding block and are computationally more expensive than the conventional quantization. In this paper, we present a novel analytical method that directly solves the rate-distortion optimization problem in a closed form by employing a rate model for entropy coding. It has the appealing property of low complexity and is easy to implement. The results show that the proposed method gives global peak signal to noise ratio is 52.665 db.
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