On Energy Compaction of 2D Saab Image Transforms
Abstract
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.
Cite
@article{arxiv.1908.10967,
title = {On Energy Compaction of 2D Saab Image Transforms},
author = {Na Li and Yongfei Zhang and Yun Zhang and C. -C. Jay Kuo},
journal= {arXiv preprint arXiv:1908.10967},
year = {2019}
}
Comments
10 pages, 9 figures, to appear in Asia-Pacific Signal and Information Processing Association (APSIPA), which will be held on November 18-21, 2019, in Lanzhou, China