A New Approach of Improving CFA Image for Digital Camera's

TL;DR

This paper proposes a novel denoising methodology applied before demosaicking to enhance CFA image quality in digital cameras, focusing on noise removal, color correction, and balancing for improved visual output.

Contribution

It introduces a new pre-demosaicking denoising approach that outperforms previous methods in improving CFA image quality.

Findings

Enhanced image quality through the proposed denoising method

Better color correction and balancing results

More efficient demosaicking process

Abstract

This paper work directly towards the improving the quality of the image for the digital cameras and other visual capturing products. In this Paper, the authors clearly defines the problems occurs in the CFA image. A different methodology for removing the noise is discuses in the paper for color correction and color balancing of the image. At the same time, the authors also proposed a new methodology of providing denoisiing process before the demosaickingfor the improving the image quality of CFA which is much efficient then the other previous defined. The demosaicking process for producing the colors in the image in a best way is also discuss.