An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement
Image contrast enhancement purposely aim the visibility of image to be increased. Most of these problems may happen after contrast enhancement: amplification of noise artifacts, saturation-loss of details, excessive brightness change and unnatural contrast enhancement. The main objective of this pap...
Saved in:
Main Authors: | Ismail N.H.B., Chen S.-D., Ng L.S., Ramli A.R. |
---|---|
Other Authors: | 57089831500 |
Format: | Article |
Published: |
Asian Research Publishing Network
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement
by: Ismail, Nur Halilah, et al.
Published: (2016) -
Detection of smooth texture in facial images for the evaluation of unnatural contrast enhancement
by: Ismail N.H.B., et al.
Published: (2023) -
A comparative study of image quality assessment algorithms for image contrast enhancement
by: Nur Hanani Azami
Published: (2023) -
No-reference image quality assessment algorithm for contrast-distorted images enhanced by using directional contrast feature in curvelet domain
by: Ahmed I.T., et al.
Published: (2023) -
Human visual perception-based image quality analyzer for assessment of contrast enhancement methods
by: Chen S.-D.
Published: (2023)