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

Yang Zhang*, Erik Reinhard, David Bull

*Corresponding author for this work

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

46 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 contributionPerception-Based High Dynamic Range Video Compression with Optimal Bit-Depth Transformation
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing (ICIP)
Place of PublicationBrussels, Belgium
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1321-1324
Number of pages4
Publication statusPublished - Sep 2011

Bibliographical note

Conference Organiser: IEEE

Keywords

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

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    Zhang, Y., Reinhard, E., & Bull, D. (2011). Perception-based high dynamic range video compression with optimal bit-depth transformation. In IEEE International Conference on Image Processing (ICIP) (pp. 1321-1324). Institute of Electrical and Electronics Engineers (IEEE).