IMAGE CONTRAST ENCHANCEMENT USING BRIGHTNESS PRESERVATION DYNAMIC HISTOGRAM EQUALIZATION
Main Article Content
Abstract
In the digital image processing domain, image enhancement plays an important role for various applications like astronomy, satellite image processing, geographical imaging, and consumer electronics etc. This work gives the implementation of brightness preserved histogram specification-controlled histogram equalization techniques for enhancing the image quality by preserving the brightness and by enhancing contrast of image by the usage of dynamic stretching. The proposed method provides the better quantitative and qualitative approach compared to the various other schemes; algorithms proposed by various researchers in this field of image enhancement.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.