Abstract
An adaptive geometric filter approach based on average brightness of the image and discrete cosine transform (DCT) coefficient adjustment is proposed in this paper for gray and color image enhancement. Adaptive geometric filter is employed for smoothing the histogram peaks before histogram equalization and DCT coefficient adjustment is applied for enhancing the fine details of the image. The proposed method is compared with the state-of-the-art other contrast enhancement techniques. Experimental results show that proposed technique exceeds the other compared methods both visually and quantitatively. Three metrics are evaluated for numerical assessment that are entropy, quality index and measure of enhancement (EME). Also color quality enhancement metric is tested for color images. After thorough study, it is concluded that our method intensifies the image contrast very well and also preserves the original characteristics of the input images.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
