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Efficient Rate Control Algorithm Based on Human Perception Prediction for JPEG2000 |
Liu Jie-yu; Zhang De-yun |
School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China |
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Abstract The image distortion from JPEG2000 is the loss of structure information, which makes perceived quality dropping in particular at the lower bit rate. So, a rate control algorithm for JPEG2000 is proposed based on the prediction of perceptual structural information distortion without the reference image. The model of measuring the perceived image quality dropping is proposed at first. Then a prediction model of perceived quality dropping for JPEG2000 is constructed. Based on the model efficient rate control is realized. Numerical experiments verify the validity of the proposed method.
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Received: 19 October 2006
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