Stereo Seam Coupling and Depth Distortion Score in 3D Image Retargeting Using DMA Algorithm

Abstract

Preserving the highlighted contents in left and right stereo images by using seam carving technique is the challenging job in current digital era. The seam carving technique facilitates to minimise the trouble by eliminating unwanted seam patches from the stereo images by using saliency detection method. These images are popularly known as stereoscopic images. This paper addresses the issues in 2-D planer images and emphasised on 3-D stereoscopic images. We method enforces on the foreground pixels which are highly considerable by calculating the high energy pixels. The depth distortion estimation is performed by adjusting the aspect ratio. The viewpoints of left and right stereo images are somewhat different. Disparity Map Acquisition (DMA) algorithm maps the pixel points from the left stereo image to its corresponding right image pixels. The fusion of the left and right images is incorporating to minimise the depth distortion score.