An optimization framework for inverse tone mapping using a single low dynamic range image

Ming Fan, Dae Hong Lee, Seung Wook Kim, Sung-Jea Ko

Research output: Contribution to journalArticle

Abstract

Conventional inverse tone-mapping (ITM) methods tend to produce contrast distortions such as contrast loss and contrast reversal in reconstructed high dynamic range (HDR) images. This paper proposes a novel ITM optimization framework based on the assumption that the input low dynamic range (LDR) image is similar to the LDR image obtained by tone mapping a true HDR image. In the proposed framework, an HDR image is initially reconstructed by applying a conventional tone-mapping function in a reverse manner, and then the reconstructed HDR image is iteratively modified toward the optimum HDR image by minimizing the difference between the input LDR image and a tone-mapped LDR image obtained from the reconstructed HDR image. The experimental results demonstrate that the proposed framework effectively reconstructs a high-quality HDR image and outperforms other conventional methods in terms of objective quality.

Original languageEnglish
Pages (from-to)274-283
Number of pages10
JournalSignal Processing: Image Communication
Volume78
DOIs
Publication statusPublished - 2019 Oct 1

Keywords

  • Brightness enhancement function
  • Inverse tone mapping
  • Newton–Raphson

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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