Hybrid KLT-SVD image compression
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Principal Component Analysis Based on L1-Norm Maximization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extended Analysis of Motion-Compensated Frame Difference for Block-Based Motion Prediction Error
IEEE Transactions on Image Processing
Covariance analysis of motion-compensated frame differences
IEEE Transactions on Circuits and Systems for Video Technology
A hybrid DCT-SVD image-coding algorithm
IEEE Transactions on Circuits and Systems for Video Technology
Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Robust Tensor Analysis With L1-Norm
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
Among the orthogonal transforms used in video and image compression, the Discrete-Cosine-Transform (DCT) is the most commonly used one. In the existing video codecs, the motion-compensation residual (MC-residual) is transformed with the DCT. In this paper, we propose an adaptive orthogonal transform that performs better on the MC-residual than the DCT. We formulate the proposed new transform based on L1-Norm minimization with orthogonal constraints. With the DCT matrix as the starting point, it is guaranteed to derive a better orthogonal transform matrix in terms of L1-Norm minimization. The experimental results confirm that, with little side information, our method leads to higher compression efficiency for the MC-residual. Remarkably, the proposed transform performs better in the high/ complex motion situation.