Online Social Networks in Business Frameworks

31Improvement of Underwater Blur Images Using Dark Channel Prior and Fuzzy Intensification Operator for Better Social Network’s Transmission

Vijay Kumar Trivedi* and Alpesh Soni

¹School of CSE, VIT Bhopal University, Bhopal, India

²CSE, SVVV, Indore, India

Abstract

Fundamentally, the differentiation and sharpness of the pictures caught in submerged will be essentially disintegrated and lessened brought about by the less detectable quality of the picture which is because of the water medium’s physical properties. In this work Dark Channel Prior method and fuzzy intensification operator is utilized for better network’s transmission. In this strategy, first of all, on the underwater picture, which is to be communicated in the web, contribution to gaussian denoising strategy is utilized to denoising the image. Furthermore, dark channel prior method is utilized for upgrading the submerged image. Tuned tri-threshold fuzzy intensification operator will be then used as image enhancement technique. Trial result shows that proposed calculation is better than existing calculation as far as PSNR and entropy.

Keywords: Underwater image, color image, dark channel prior, fuzzy intesification operator

31.1 Introduction

Capturing pictures of underwater scenes is more challenging than capturing pictures of typical outdoor scenes. W. Thompson captured the first underwater photograph in England in 1856 [1]. In Weymouth Bay, the photographer dropped a camera into the housing and used an anchored ...