Color Image Contrast Enhancement Using Modified Firefly Algorithm

Author:

Kumar Narendra1,Kumar Anil1ORCID,Kumar Krishna2

Affiliation:

1. DIT University, Dehradun

2. UJVN Ltd., India

Abstract

The image enhancement process is used for improving the standard of the image, it's inspired by the development of human perception pictorial information. Increasing the contrast of the image, removing the unwanted noise from the images is the picture enhancement process. A histogram of the low contrast images and depth image is employed to enhance image contrast. In the proposed work, a color image as input and extract out the red, green, and blue pixel matrixes from it, then obtain the optimized histogram using the modified firefly algorithm and compare the performance matrices like PSNR and Entropy, etc. with other optimization techniques.

Publisher

IGI Global

Subject

General Medicine

Reference11 articles.

1. A Chaotic Lévy Flight Approach in Bat and Firefly Algorithm for Gray Level Image Enhancement.;K. G.Dhal;International Journal of Image, Graphics & Signal Processing,2015

2. Non-linear Grayscale Image Enhancement Based on Firefly Algorithm

3. Image Restoration Using a Fuzzy-Based Median Filter and Modified Firefly Optimization Algorithm.;N.Kumar;International Journal of Advanced Science and Technology,2020

4. Kumar, Dahiya, & Kumar. (2020b). Modified Median Filter for Image Denoising. International Journal of Advanced Science and Technologym 29(4), 1495–1502.

5. Kumar, Shukla, Tiwari, & Dahiya. (2019). Dual Ascent Based Median Filter for Image Restoration. SSRN Electronic Journal.

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