Lossless Coding Method for Still Images Based on Probability Model Optimization Utilizing Adaptive Prediction and Example Search

UNNO Kyohei, KAMEDA Yusuke, MATSUDA Ichiro, ITOH Susumu, NAITO Sei

doi:10.14923/transinfj.2019iep0003

Bibliographic Information

Other Title

適応予測と事例探索を併用した確率モデル最適化に基づく静止画像の可逆符号化方式

Description

We previously proposed a lossless image coding method based on example search and probability model optimization. In the method, probabilities of image values are modeled pel-by-pel as a linear combination of Gaussian functions whose center positions are given by examples gathered from a search window in the causal neighborhood. In this paper, an adaptive prediction technique is incorporated into the above example search to exploit both non-local and local image information in the probability modeling. Experimental results show that the proposed method attains comparable or better coding performance than the state-of-the-art other lossless coding schemes.

Journal

電子情報通信学会論文誌D 情報・システム

電子情報通信学会論文誌D 情報・システム J102-D (10), 619-627, 2019-10-01

The Institute of Electronics, Information and Communication Engineers

Keywords

Details 詳細情報について

CRID: 1390001277351344384

DOI: 10.14923/transinfj.2019iep0003

ISSN: 18810225; 18804535

Text Lang: ja

Data Source

JaLC
KAKEN

Abstract License Flag: Disallowed

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