On Energy Compaction of 2D Saab Image Transforms

08/28/2019
by   Na Li, et al.
0

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.

READ FULL TEXT

page 8

page 9

page 10

research
11/28/2021

Data-independent Low-complexity KLT Approximations for Image and Video Coding

The Karhunen-Loève transform (KLT) is often used for data decorrelation ...
research
08/23/2017

Lossless Image and Intra-frame Compression with Integer-to-Integer DST

Video coding standards are primarily designed for efficient lossy compre...
research
03/02/2022

Hybrid Model-based / Data-driven Graph Transform for Image Coding

Transform coding to sparsify signal representations remains crucial in a...
research
02/24/2022

Orthonormal Matrix Codebook Design for Adaptive Transform Coding

A novel algorithm for designing optimized orthonormal transform-matrix c...
research
03/10/2016

Predicting Chroma from Luma with Frequency Domain Intra Prediction

This paper describes a technique for performing intra prediction of the ...
research
11/16/2019

Parametric Graph-based Separable Transforms for Video Coding

In many video coding systems, separable transforms (such as two-dimensio...
research
10/03/2012

Reduction of Blocking Artifacts In JPEG Compressed Image

In JPEG (DCT based) compresses image data by representing the original i...

Please sign up or login with your details

Forgot password? Click here to reset