KEYWORDS: Error analysis, Video coding, Digital filtering, Optical filters, Video, Computer programming, Optical engineering, Distortion, Signal attenuation, Standards development
In error-prone environments, packets could be lost during the transmission of compressed video bitstream, and corrupted errors by the lost packets could be propagated until it meets a refresh point. To defect the error propagation, constrained intra-prediction in high efficiency video coding (HEVC) performs intra-prediction using only neighboring intra-coded samples. However, the errors could be propagated to intra-coded blocks by an in-loop filtering process, since the in-loop filtering is performed regardless of the prediction modes of blocks, even though constrained intra-prediction is used. In this paper, a constrained in-loop filtering is proposed to protect intra-coded samples from error propagation by adaptively applying filters depending on the prediction modes of reconstructed blocks. Simulation results show that the proposed method alleviates the distortion of the decoded pictures and thereby improves both subjective and objective quality compared with the HEVC standard.
We propose a rate-distortion optimized transform coding method that adaptively employs either integer cosine transform that is an integer-approximated version of discrete cosine transform (DCT) or integer sine transform (IST) in a rate-distortion sense. The DCT that has been adopted in most video-coding standards is known as a suboptimal substitute for the Karhunen-Loève transform. However, according to the correlation of a signal, an alternative transform can achieve higher coding efficiency. We introduce a discrete sine transform (DST) that achieves the high-energy compactness in a correlation coefficient range of −0.5 to 0.5 and is applied to the current design of H.264/AVC (advanced video coding). Moreover, to avoid the encoder and decoder mismatch and make the implementation simple, an IST that is an integer-approximated version of the DST is developed. The experimental results show that the proposed method achieves a Bjøntegaard Delta-RATE gain up to 5.49% compared to Joint model 11.0.
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