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3D Video Compression Method for Image Quality Degradation in Case of Motion Prediction and Parallax Prediction
3D Video Compression Method for Image Quality Degradation in Case of Motion Prediction and Parallax Prediction
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机译:运动预测和视差预测下图像质量下降的3D视频压缩方法
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摘要
According to the present invention, stereoscopic error is generated in order to prevent the prediction error accumulation in the GOP caused by the use of the motion prediction during the compression of the stereoscopic video and the deterioration of the image quality of the reproduced image that occurs when there is a sudden change of the signal characteristic in the acquired image. As a method of compressing an image, the present invention compresses a stereoscopic image signal by motion prediction, and generates a prediction error cumulative phenomenon after the mid-GOP due to the use of motion prediction, or when a sudden change of signal characteristics exists in an acquired image. In order to reduce image quality deterioration, step 1 of dividing stereoscopic images obtained from different angles of disparity into a reference image sequence and a predictive image sequence, and compressing the reference image sequence by a conventional motion prediction method, the predictive image sequence Two steps to compress including the parallax prediction based on the image string, and by the cause described above In order to reduce the deterioration of image quality, the compression bit allocation (compression reduction), intra compression, etc. are applied to the corresponding prediction images between the set GOPs to improve the image quality of the prediction image. By including three steps of setting and compressing a GOP structure that improves the quality of the reference image and the predicted image sequence by disparaging the reference image, a high quality three-dimensional stereoscopic image service is expected.
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