Optimized Tone Mapping Function for Contrast Enhancement Considering Human Visual Perception System

Ki Sun Song, Moon Gi Kang

Research output: Contribution to journalArticle

Abstract

Conventional contrast enhancement methods, including global and local enhancements, produce enhanced images with some limitations. Global contrast enhancement does not take the local characteristics into consideration, and therefore, the enhancement performance could be limited. On the other hand, a local contrast enhancement method achieves a noticeable improvement, but it generates unnatural improvement results compared with the input image. Due to the complementary characteristics of these two methods, it is hard to achieve remarkable contrast enhancement without visual artifacts. To overcome the limitations, we propose a new tone mapping function for contrast enhancement using an optimization approach that is subject to constraints such as the output image needing to be enhanced naturally and noticeably. Since contrast enhancement without artificiality is possible when the enhancement process mimics the human eye, we model the human visual perception system, and then, the model is incorporated into the proposed tone mapping function. Consequently, the contrast of the image is adaptively enhanced according to a region that is more attractive to a person. The experimental results demonstrate that the proposed algorithm outperforms other contrast enhancement methods in terms of both objective and subjective criteria.

Original languageEnglish
Article number8492426
Pages (from-to)3199-3210
Number of pages12
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume29
Issue number11
DOIs
Publication statusPublished - 2019 Nov

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Cite this

@article{64645ae0843d4dbe83973ad12c723272,
title = "Optimized Tone Mapping Function for Contrast Enhancement Considering Human Visual Perception System",
abstract = "Conventional contrast enhancement methods, including global and local enhancements, produce enhanced images with some limitations. Global contrast enhancement does not take the local characteristics into consideration, and therefore, the enhancement performance could be limited. On the other hand, a local contrast enhancement method achieves a noticeable improvement, but it generates unnatural improvement results compared with the input image. Due to the complementary characteristics of these two methods, it is hard to achieve remarkable contrast enhancement without visual artifacts. To overcome the limitations, we propose a new tone mapping function for contrast enhancement using an optimization approach that is subject to constraints such as the output image needing to be enhanced naturally and noticeably. Since contrast enhancement without artificiality is possible when the enhancement process mimics the human eye, we model the human visual perception system, and then, the model is incorporated into the proposed tone mapping function. Consequently, the contrast of the image is adaptively enhanced according to a region that is more attractive to a person. The experimental results demonstrate that the proposed algorithm outperforms other contrast enhancement methods in terms of both objective and subjective criteria.",
author = "Song, {Ki Sun} and Kang, {Moon Gi}",
year = "2019",
month = "11",
doi = "10.1109/TCSVT.2018.2876120",
language = "English",
volume = "29",
pages = "3199--3210",
journal = "IEEE Transactions on Circuits and Systems for Video Technology",
issn = "1051-8215",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

Optimized Tone Mapping Function for Contrast Enhancement Considering Human Visual Perception System. / Song, Ki Sun; Kang, Moon Gi.

In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 29, No. 11, 8492426, 11.2019, p. 3199-3210.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Optimized Tone Mapping Function for Contrast Enhancement Considering Human Visual Perception System

AU - Song, Ki Sun

AU - Kang, Moon Gi

PY - 2019/11

Y1 - 2019/11

N2 - Conventional contrast enhancement methods, including global and local enhancements, produce enhanced images with some limitations. Global contrast enhancement does not take the local characteristics into consideration, and therefore, the enhancement performance could be limited. On the other hand, a local contrast enhancement method achieves a noticeable improvement, but it generates unnatural improvement results compared with the input image. Due to the complementary characteristics of these two methods, it is hard to achieve remarkable contrast enhancement without visual artifacts. To overcome the limitations, we propose a new tone mapping function for contrast enhancement using an optimization approach that is subject to constraints such as the output image needing to be enhanced naturally and noticeably. Since contrast enhancement without artificiality is possible when the enhancement process mimics the human eye, we model the human visual perception system, and then, the model is incorporated into the proposed tone mapping function. Consequently, the contrast of the image is adaptively enhanced according to a region that is more attractive to a person. The experimental results demonstrate that the proposed algorithm outperforms other contrast enhancement methods in terms of both objective and subjective criteria.

AB - Conventional contrast enhancement methods, including global and local enhancements, produce enhanced images with some limitations. Global contrast enhancement does not take the local characteristics into consideration, and therefore, the enhancement performance could be limited. On the other hand, a local contrast enhancement method achieves a noticeable improvement, but it generates unnatural improvement results compared with the input image. Due to the complementary characteristics of these two methods, it is hard to achieve remarkable contrast enhancement without visual artifacts. To overcome the limitations, we propose a new tone mapping function for contrast enhancement using an optimization approach that is subject to constraints such as the output image needing to be enhanced naturally and noticeably. Since contrast enhancement without artificiality is possible when the enhancement process mimics the human eye, we model the human visual perception system, and then, the model is incorporated into the proposed tone mapping function. Consequently, the contrast of the image is adaptively enhanced according to a region that is more attractive to a person. The experimental results demonstrate that the proposed algorithm outperforms other contrast enhancement methods in terms of both objective and subjective criteria.

UR - http://www.scopus.com/inward/record.url?scp=85055054627&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055054627&partnerID=8YFLogxK

U2 - 10.1109/TCSVT.2018.2876120

DO - 10.1109/TCSVT.2018.2876120

M3 - Article

AN - SCOPUS:85055054627

VL - 29

SP - 3199

EP - 3210

JO - IEEE Transactions on Circuits and Systems for Video Technology

JF - IEEE Transactions on Circuits and Systems for Video Technology

SN - 1051-8215

IS - 11

M1 - 8492426

ER -