Enhancing the quality of low-light images via the coefficient bounds derived for a subclass of Sakaguchi-type function
Abstract This paper introduces a new approach for enhancing low-light images by utilizing coefficient bounds from a specific subclass of analytic functions, a concept rooted in geometric function theory. Our method is designed to adapt dynamically to different lighting conditions, ensuring effective...
Saved in:
Main Authors: | K. Sivagami Sundari, B. Srutha Keerthi |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-02-01
|
Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13640-025-00663-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
3L-YOLO: A Lightweight Low-Light Object Detection Algorithm
by: Zhenqi Han, et al.
Published: (2024-12-01) -
Applications of Babalola q-convolution operator on subclass of analytic functions
by: Timilehin Gideon Shaba, et al.
Published: (2025-01-01) -
A relationship between the modified Euler method and e
by: Richard B. Darst, et al.
Published: (1985-01-01) -
Coefficient Bounds for Certain Subclasses of Bi-Univalent Function
by: G. Murugusundaramoorthy, et al.
Published: (2013-01-01) -
On Sakaguchi functions
by: Ding-Gong Yang, et al.
Published: (2003-01-01)