Image Quality Assessment: From Difference to Relative Entropy

Wachirapong Jirakitpuwapat; Poom Kumam; Tanapat Deesuwan; Anantachai Padcharoen; Duangkamon Kitkuan; Auwal Bala Abubakar

Image Quality Assessment: From Difference to Relative Entropy

Wachirapong Jirakitpuwapat
, Poom Kumam^*
, Tanapat Deesuwan
, Anantachai Padcharoen
, Duangkamon Kitkuan
, Auwal Bala Abubakar

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Assessing image quality via objective methods basically attempts to quantify or measure the differences in visibility between a reference image and a distorted image. In this paper, a more general objective image quality index is given, which is simple to implement and has vast application in image processing. The relative entropy index is based on the assumption that the image is an information entropy. Experimental comparisons demonstrate the effectiveness of the proposed method.

Original language	English
Pages (from-to)	39-51
Number of pages	13
Journal	Thai Journal of Mathematics
Volume	21
Issue number	1
Publication status	Published - 2023
Externally published	Yes

Keywords

entropy
recovery image
relative entropy

Cite this

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title = "Image Quality Assessment: From Difference to Relative Entropy",

abstract = "Assessing image quality via objective methods basically attempts to quantify or measure the differences in visibility between a reference image and a distorted image. In this paper, a more general objective image quality index is given, which is simple to implement and has vast application in image processing. The relative entropy index is based on the assumption that the image is an information entropy. Experimental comparisons demonstrate the effectiveness of the proposed method.",

keywords = "entropy, recovery image, relative entropy",

author = "Wachirapong Jirakitpuwapat and Poom Kumam and Tanapat Deesuwan and Anantachai Padcharoen and Duangkamon Kitkuan and Abubakar, \{Auwal Bala\}",

year = "2023",

language = "English",

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T2 - From Difference to Relative Entropy

AU - Jirakitpuwapat, Wachirapong

AU - Kumam, Poom

AU - Deesuwan, Tanapat

AU - Padcharoen, Anantachai

AU - Kitkuan, Duangkamon

AU - Abubakar, Auwal Bala

PY - 2023

Y1 - 2023

N2 - Assessing image quality via objective methods basically attempts to quantify or measure the differences in visibility between a reference image and a distorted image. In this paper, a more general objective image quality index is given, which is simple to implement and has vast application in image processing. The relative entropy index is based on the assumption that the image is an information entropy. Experimental comparisons demonstrate the effectiveness of the proposed method.

AB - Assessing image quality via objective methods basically attempts to quantify or measure the differences in visibility between a reference image and a distorted image. In this paper, a more general objective image quality index is given, which is simple to implement and has vast application in image processing. The relative entropy index is based on the assumption that the image is an information entropy. Experimental comparisons demonstrate the effectiveness of the proposed method.

KW - entropy

KW - recovery image

KW - relative entropy

UR - https://www.scopus.com/pages/publications/85153789369

M3 - Article

AN - SCOPUS:85153789369

SN - 1686-0209

VL - 21

SP - 39

EP - 51

JO - Thai Journal of Mathematics

JF - Thai Journal of Mathematics

IS - 1

ER -

Image Quality Assessment: From Difference to Relative Entropy

Abstract

Keywords

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