TY - JOUR
T1 - Image Quality Assessment
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
N1 - Publisher Copyright:
© 2023 by TJM. All rights reserved.
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 - http://www.scopus.com/inward/record.url?scp=85153789369&partnerID=8YFLogxK
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 -