On Energy Compaction of 2D Saab Image Transforms
This work addresses video compression efficiency for the HEVC standard, but it is incremental as it compares an existing transform without major breakthroughs.
The paper tackled the problem of energy compaction in image transforms for video compression by comparing the Saab transform with DCT and KLT on HEVC intra-predicted residual blocks, showing that the Saab transform demonstrates competitive energy compaction capabilities.
The block Discrete Cosine Transform (DCT) is commonly used in image and video compression due to its good energy compaction property. The Saab transform was recently proposed as an effective signal transform for image understanding. In this work, we study the energy compaction property of the Saab transform in the context of intra-coding of the High Efficiency Video Coding (HEVC) standard. We compare the energy compaction property of the Saab transform, the DCT, and the Karhunen-Loeve transform (KLT) by applying them to different sizes of intra-predicted residual blocks in HEVC. The basis functions of the Saab transform are visualized. Extensive experimental results are given to demonstrate the energy compaction capability of the Saab transform.