Perception-based high dynamic range video compression with optimal bit-depth transformation

Yang Zhang; Erik Reinhard; David Bull

Perception-based high dynamic range video compression with optimal bit-depth transformation

Yang Zhang^*
, Erik Reinhard
, David Bull

^*Corresponding author for this work

Visual Information Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

53 Citations (Scopus)

Abstract

High Dynamic Range (HDR) technology is able to offer high levels of immersion with a dynamic range comparable to the Human Visual System (HVS). A primary drawback of HDR is that its memory and bandwidth requirements are significantly higher than for conventional video. The challenge is thus to develop means for efficiently compressing the video to a manageable bit rate without compromising perceptual quality. In this paper, we propose an HDR compression method based on an optimized bit-depth transformation, and HVS model based wave let transform denoising. Experimental results indicate that the proposed method out performs previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a Visible Difference Predictor (VDP).

Translated title of the contribution	Perception-Based High Dynamic Range Video Compression with Optimal Bit-Depth Transformation
Original language	English
Title of host publication	IEEE International Conference on Image Processing (ICIP)
Place of Publication	Brussels, Belgium
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1321-1324
Number of pages	4
Publication status	Published - Sept 2011

Bibliographical note

Conference Organiser: IEEE

Keywords

High Dynamic Range
Human Visual System
Wavelet Transform
Bit-Depth Transform
Video Coding

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@inproceedings{601d4187ade246418e0355b88c6dd092,

title = "Perception-based high dynamic range video compression with optimal bit-depth transformation",

abstract = "High Dynamic Range (HDR) technology is able to offer high levels of immersion with a dynamic range comparable to the Human Visual System (HVS). A primary drawback of HDR is that its memory and bandwidth requirements are significantly higher than for conventional video. The challenge is thus to develop means for efficiently compressing the video to a manageable bit rate without compromising perceptual quality. In this paper, we propose an HDR compression method based on an optimized bit-depth transformation, and HVS model based wave let transform denoising. Experimental results indicate that the proposed method out performs previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a Visible Difference Predictor (VDP).",

keywords = "High Dynamic Range, Human Visual System, Wavelet Transform, Bit-Depth Transform, Video Coding",

author = "Yang Zhang and Erik Reinhard and David Bull",

note = "Conference Organiser: IEEE",

year = "2011",

month = sep,

language = "English",

pages = "1321--1324",

booktitle = "IEEE International Conference on Image Processing (ICIP)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Perception-based high dynamic range video compression with optimal bit-depth transformation. / Zhang, Yang; Reinhard, Erik; Bull, David.
IEEE International Conference on Image Processing (ICIP). Brussels, Belgium: Institute of Electrical and Electronics Engineers (IEEE), 2011. p. 1321-1324.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Perception-based high dynamic range video compression with optimal bit-depth transformation

AU - Zhang, Yang

AU - Reinhard, Erik

AU - Bull, David

N1 - Conference Organiser: IEEE

PY - 2011/9

Y1 - 2011/9

N2 - High Dynamic Range (HDR) technology is able to offer high levels of immersion with a dynamic range comparable to the Human Visual System (HVS). A primary drawback of HDR is that its memory and bandwidth requirements are significantly higher than for conventional video. The challenge is thus to develop means for efficiently compressing the video to a manageable bit rate without compromising perceptual quality. In this paper, we propose an HDR compression method based on an optimized bit-depth transformation, and HVS model based wave let transform denoising. Experimental results indicate that the proposed method out performs previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a Visible Difference Predictor (VDP).

AB - High Dynamic Range (HDR) technology is able to offer high levels of immersion with a dynamic range comparable to the Human Visual System (HVS). A primary drawback of HDR is that its memory and bandwidth requirements are significantly higher than for conventional video. The challenge is thus to develop means for efficiently compressing the video to a manageable bit rate without compromising perceptual quality. In this paper, we propose an HDR compression method based on an optimized bit-depth transformation, and HVS model based wave let transform denoising. Experimental results indicate that the proposed method out performs previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a Visible Difference Predictor (VDP).

KW - High Dynamic Range

KW - Human Visual System

KW - Wavelet Transform

KW - Bit-Depth Transform

KW - Video Coding

M3 - Conference Contribution (Conference Proceeding)

SP - 1321

EP - 1324

BT - IEEE International Conference on Image Processing (ICIP)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Brussels, Belgium

ER -

Perception-based high dynamic range video compression with optimal bit-depth transformation

Abstract

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Keywords

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