Enhancement of Satellite and Underwater Image Utilizing Luminance Model by Color Correction Method
Sandeep Kumar, E. G. Rajan, Shilpa Rani · 2021
The eminence of satellite and the underwater image is meager due to the belongings of water, air, and its contamination. Water and air properties cause attenuation of light travels through the water and air medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the satellite and underwater images. The work proposes submerging and satellite picture enhancements that merged the iterative wavelet algorithm and the white balance method with the contrast limited adaptive histogram equalization (CLAHE). The biggest problem in overflowing images is the blurring effect due to instability in the water flow, inadequate lighting, and low contrast. The significant issues in satellite images, i.e., glare, blurriness, and low contrast which affect the accuracy. The proposed work solves these problems that can enhance the appearance and obtained better outcomes. Multiple inputs were used, including images corrected by hue and increased by comparison while testing the proposed methodology. Entropy, peak signal–to-noise ratio (PSNR), and deployment time have been considered while performed. Approaches such as Dark Channel Prior (DCP), Opposite Modification (CA), and Discrete Transform Wavelets (DWT)– Dynamic CLAHE (DCLAHE) are used to fit the proposed protocol. Execution results indicate that this approach will increase perceptual efficiency by contrasting it with previous procedures and has a good impact on the submerged picture.