# On Energy Compaction of 2D Saab Image Transforms

arXiv: https://arxiv.org/abs/1908.10967 · HTML: https://mlsanity.com/paper/1908.10967/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Aug 2019.

## Built on by (most cited first, 1 of 1)

- [ZORRO: Zero-Knowledge Robustness and Privacy for Split Learning (Full Version)](https://mlsanity.com/paper/2509.09787/) (2025)

## Abstract (arXiv)

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.