What's wrong with mean-squared error?
Digital images and human vision
Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding
Principles of Digital Communication and Coding
Principles of Digital Communication and Coding
A new perceptual quality metric for compressed video
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A perceptually motivated three-component image model-Part I: description of the model
IEEE Transactions on Image Processing
Bit-rate control using piecewise approximated rate-distortion characteristics
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a novel quality control scheme which aims to keep quality consistency within a frame. Quality consistency is an important requirement in video coding. However, many existing schemes usually consider the quality consistency as the quantization parameter (QP) consistency. Moreover, the most frequently used metric to evaluate the quality consistency is PSNR, which has been well known that it is not good for subjective quality evaluation. These flaws of the existing methods are pointed out and proved to be unreasonable. For optimization, we take the effect of texture complexity on subjective evaluation into consideration to build a new D-Q model. We use the new model to adjust the quantization parameters of different regions to keep quality consistency. The simulation result shows that the new scheme gets better subjective quality and higher coding efficiency compared to traditional way.