A fast infrared image enhancement algorithm based on contrast optimization model
In infrared image contrast enhancement, plateau histogram equalization is a fast algorithm with good performance, and the key lies in how to choose the appropriate plateau value. In order to address the shortcomings of existing plateau histogram algorithms and meet the needs of both high-performance...
Saved in:
| Main Authors: | XIONG Zhandong, DAI Shengkui |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
EDP Sciences
2025-02-01
|
| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2025/01/jnwpu2025431p140/jnwpu2025431p140.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement
by: Ibrahim Majid Mohammed, et al.
Published: (2025-01-01) -
Dynamic Range Compression of Infrared Images Based on Histogram Equalization with Edge Inversion
by: S. I. Rudikov, et al.
Published: (2024-02-01) -
Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms
by: S. I. Rudikov, et al.
Published: (2022-06-01) -
Image Quality Enhancing by Efficient Histogram Equalization
by: Ismail Sh. Baqer
Published: (2014-10-01) -
An objective measure for assessing the quality of contrast enhancement on magnetic resonance images
by: Simi Venuji Renuka, et al.
Published: (2022-11-01)