APSIPA Transactions on Signal and Information Processing > Vol 9 > Issue 1

High dynamic range image compression based on visual saliency

Jin Wang, Beijing University of Technology, China, ijinwang@bjut.edu.cn , Shenda Li, Beijing University of Technology, China, Qing Zhu, Beijing University of Technology, China
 
Suggested Citation
Jin Wang, Shenda Li and Qing Zhu (2020), "High dynamic range image compression based on visual saliency", APSIPA Transactions on Signal and Information Processing: Vol. 9: No. 1, e16. http://dx.doi.org/10.1017/ATSIP.2020.15

Publication Date: 27 May 2020
© 2020 Jin Wang, Shenda Li and Qing Zhu
 
Subjects
 
Keywords
High dynamic rangeTone mappingVisual saliencyJPEG XTImage compression
 

Share

Open Access

This is published under the terms of the Creative Commons Attribution licence.

Downloaded: 1441 times

In this article:
I. INTRODUCTION 
II. PRELIMINARY 
III. PROPOSED METHOD 
IV. EXPERIMENTAL RESULTS 
V. CONCLUSIONS 

Abstract

With wider luminance range than conventional low dynamic range (LDR) images, high dynamic range (HDR) images are more consistent with human visual system (HVS). Recently, JPEG committee releases a new HDR image compression standard JPEG XT. It decomposes an input HDR image into base layer and extension layer. The base layer code stream provides JPEG (ISO/IEC 10918) backward compatibility, while the extension layer code stream helps to reconstruct the original HDR image. However, this method does not make full use of HVS, causing waste of bits on imperceptible regions to human eyes. In this paper, a visual saliency-based HDR image compression scheme is proposed. The saliency map of tone mapped HDR image is first extracted, then it is used to guide the encoding of extension layer. The compression quality is adaptive to the saliency of the coding region of the image. Extensive experimental results show that our method outperforms JPEG XT profile A, B, C and other state-of-the-art methods. Moreover, our proposed method offers the JPEG compatibility at the same time.

DOI:10.1017/ATSIP.2020.15