Multi Exposure Image Fusion based on PCA

Abstract

We face a lot of challenges in image exposure (light/unit area), while an image is captured using a digital camera. To solve this problem, multiple exposure images are combined by different fusion techniques to generate HDR(High dynamic range) image. In order to fuse these images to form a desired HDR image, different techniques are adopted. In this paper a new method is developed using statistical values and component analysis. The algorithm is tested for different images, for comparison of existing methods-evaluation metrics like SSIM, MSE and PSNR are used.