Classified directional prediction for visually lossless compression in display devices

Chia Lingn Chiang; Ssu Chieh Yang; Xiao Qiaon Huang; Chih Hung Kuo

doi:10.1109/ICICS.2013.6782827

Classified directional prediction for visually lossless compression in display devices

Chia Lingn Chiang, Ssu Chieh Yang, Xiao Qiaon Huang, Chih Hung Kuo

Department of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper proposes a new visually lossless image compression technique for display devices. The algorithm explores the differences in error perceptibility of human visual system (HVS) for different image areas. Coding units are classified into smooth, detail and sharp areas based on local complexity and prediction errors. In order to achieve the objectives of imperceptible quality loss and high compression ratio, the classified blocks are quantized by different levels. The proposed architecture is designed to use only the memory of two line buffer, so it is hardware-friendly and could be easily implemented in many display devices. Experimental results show that the proposed method is visually lossless in all categories of tested images with the average compression ratio 6.138.

Original language	English
DOIs	https://doi.org/10.1109/ICICS.2013.6782827
Publication status	Published - 2013
Event	9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan Duration: 2013 Dec 10 → 2013 Dec 13

Other

Other	9th International Conference on Information, Communications and Signal Processing, ICICS 2013
Country/Territory	Taiwan
City	Tainan
Period	13-12-10 → 13-12-13

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Signal Processing

Access to Document

10.1109/ICICS.2013.6782827

Cite this

@conference{548f4ed7237d42d29a2bc17887fd17d7,

title = "Classified directional prediction for visually lossless compression in display devices",

abstract = "This paper proposes a new visually lossless image compression technique for display devices. The algorithm explores the differences in error perceptibility of human visual system (HVS) for different image areas. Coding units are classified into smooth, detail and sharp areas based on local complexity and prediction errors. In order to achieve the objectives of imperceptible quality loss and high compression ratio, the classified blocks are quantized by different levels. The proposed architecture is designed to use only the memory of two line buffer, so it is hardware-friendly and could be easily implemented in many display devices. Experimental results show that the proposed method is visually lossless in all categories of tested images with the average compression ratio 6.138.",

author = "Chiang, {Chia Lingn} and Yang, {Ssu Chieh} and Huang, {Xiao Qiaon} and Kuo, {Chih Hung}",

year = "2013",

doi = "10.1109/ICICS.2013.6782827",

language = "English",

note = "9th International Conference on Information, Communications and Signal Processing, ICICS 2013 ; Conference date: 10-12-2013 Through 13-12-2013",

}

TY - CONF

T1 - Classified directional prediction for visually lossless compression in display devices

AU - Chiang, Chia Lingn

AU - Yang, Ssu Chieh

AU - Huang, Xiao Qiaon

AU - Kuo, Chih Hung

PY - 2013

Y1 - 2013

N2 - This paper proposes a new visually lossless image compression technique for display devices. The algorithm explores the differences in error perceptibility of human visual system (HVS) for different image areas. Coding units are classified into smooth, detail and sharp areas based on local complexity and prediction errors. In order to achieve the objectives of imperceptible quality loss and high compression ratio, the classified blocks are quantized by different levels. The proposed architecture is designed to use only the memory of two line buffer, so it is hardware-friendly and could be easily implemented in many display devices. Experimental results show that the proposed method is visually lossless in all categories of tested images with the average compression ratio 6.138.

AB - This paper proposes a new visually lossless image compression technique for display devices. The algorithm explores the differences in error perceptibility of human visual system (HVS) for different image areas. Coding units are classified into smooth, detail and sharp areas based on local complexity and prediction errors. In order to achieve the objectives of imperceptible quality loss and high compression ratio, the classified blocks are quantized by different levels. The proposed architecture is designed to use only the memory of two line buffer, so it is hardware-friendly and could be easily implemented in many display devices. Experimental results show that the proposed method is visually lossless in all categories of tested images with the average compression ratio 6.138.

UR - http://www.scopus.com/inward/record.url?scp=84899099537&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899099537&partnerID=8YFLogxK

U2 - 10.1109/ICICS.2013.6782827

DO - 10.1109/ICICS.2013.6782827

M3 - Paper

AN - SCOPUS:84899099537

T2 - 9th International Conference on Information, Communications and Signal Processing, ICICS 2013

Y2 - 10 December 2013 through 13 December 2013

ER -

Classified directional prediction for visually lossless compression in display devices

Abstract

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this