Abstract: The present invention relates to a predictive quantization coding method and a video compression system. The method includes: dividing a pixel to be processed into a plurality of pixel components; obtaining one pixel component to be processed and texture direction gradients thereof; obtaining reference pixels and a prediction residual of the pixel component to be processed; forming a prediction residual code stream; dividing the prediction residual code stream into multiple quantization units; and obtaining a quantization residual code stream. The present invention can reduce the transmission bandwidth, and reduce the theoretical limit entropy and complexity.

Abstract: The present invention relates to a predictive quantization coding method and a video compression system. The method includes: dividing a pixel to be processed into a plurality of pixel components; obtaining one pixel component to be processed and texture direction gradients thereof; obtaining reference pixels and a prediction residual of the pixel component to be processed; forming a prediction residual code stream; dividing the prediction residual code stream into multiple quantization units; and obtaining a quantization residual code stream. The present invention can reduce the transmission bandwidth, and reduce the theoretical limit entropy and complexity.

Abstract: The present invention relates to a quadtree-based bandwidth compression prediction method and a system thereof. The bandwidth compression prediction method for example includes: dividing a to-be-predicted macroblock; obtaining a first prediction residual and a second prediction residual; judging whether re-dividing is performed on the to-be-predicted macroblock; and outputting the prediction residual and pixel component minimum values of the final sub-macroblocks divided from the to-be-predicted macroblock. According to the quadtree-based bandwidth compression prediction method and system, during the processing of complex texture images, the prediction effect is good, the processing efficiency is high, and the theoretical limit entropy can be reduced.