Journal article
Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation
Image and vision computing, v 29(8), pp 557-568
01 Jul 2011
Abstract
Automatic exposure controls in commercially available cameras often encounter difficulties in capturing scenes with backlight luminance which dominates the entire image. An Adaptive Height-Modified Histogram Equalization (AHMHE) algorithm is proposed as a compensation technique for backlight images. It simultaneously enhances contrast in both the dark and the bright areas without creating regions of degraded local contrast. Moreover AHMHE is an adaptive algorithm: thus it requires minimal user input, and its reduced computational requirement makes it suitable for real-time application. In addition to AHMHE, a chroma correction technique was applied to chroma components in the YCbCr color space to produce more vivid color images. A series of subjective and index evaluations were conducted to measure the resultant image quality improvements by the AHMHE and the chroma correction algorithms.
[Display omitted]
► Backlight image compensation technique. ► Contrast enhances in both dark and bright areas without degraded local contrast. ► Chroma correction is performed after. ► Evaluations demonstrate the image quality improvement.
Metrics
Details
- Title
- Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation
- Creators
- Bonghyup Kang - SamsungChangwon Jeon - Korea UniversityDavid K. Han - Office of Naval ResearchHanseok Ko - Korea University
- Publication Details
- Image and vision computing, v 29(8), pp 557-568
- Publisher
- Elsevier
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000295066200006
- Scopus ID
- 2-s2.0-80051670670
- Other Identifier
- 991021931090204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Optics