Distribution-Adaptive Contexts and Probability Model Adjusting for Lossless Image Compression
Journal
2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
Pages
585-586
Date Issued
2021
Author(s)
Chang J.-M
Abstract
Adaptive arithmetic coding (AAC) is an advanced entropy coding method. However, its performance is highly dependent on the context assignment method and the frequency table adjusting mechanisms. In this work, two techniques to improve the performance of AAC on lossless image compression are proposed. First, a method to adaptively vary the thresholds for context assignment according to the histogram is proposed. Moreover, a hyper-Laplacian probability model is applied to construct the frequency table and its parameters are adjusted adaptively according to the local weighted variance. With these techniques, lossless image compression can be performed in a much more effective way. ? 2021 IEEE.
Subjects
adaptive arithmetic coding
adaptive context modeling
lossless image compression
probability model
Digital arithmetic
Image coding
Image compression
Probability distributions
Adaptive arithmetic coding
Adaptive context modeling
Adjusting mechanism
Coding methods
Context models
Entropy coding
Frequency Tables
Lossless image compression
Performance
Probability modelling
Image enhancement
Type
conference paper