Image Enhancement Algorithm Implemented on Reconfigurable Hardware


Present day applications require various kinds of images and pictures as sources of information for interpretation and analysis. Whenever an image is converted from one form to another, such as digitizing, scanning, transmitting, storing, etc. , some form of degradation occurs at the output. Hence, the output image has to undergo a process called image enhancement which consists of a collection of techniques that seek to improve the visual appearance of an image. This work addresses the implementation of image enhancement algorithms like global contrast adjustment, local contrast adjustment and global histogram equalization on FPGA (using soft core processor) that have become a

Extracted Key Phrases

Cite this paper

@inproceedings{Jane2014ImageEA, title={Image Enhancement Algorithm Implemented on Reconfigurable Hardware}, author={Pratik G. Jane and Nitin P. Narkhede and Roy P. Paily and Jasdeep Kaur and Nancy and Ramneet Kaur and Nishu quotHistogram and Hyunsup Yoon and Youngjoon Han and Hernsoo Hahn and Maciej Wielgosz and Kazimierz Wiatr and quotFPGA and Abdullah M. Alsuwailem and Saleh A. Alshebeili and Rajesh Garg and Bhawna Mittal and Sheetal Garg and Stephanie Parker and Jumoke Ladeji-Osias and Nitin Sachdeva and Tarun Sachdeva and T. Romen Singh and Haobam Mamata Devi and Tejmani Sinam}, year={2014} }