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Preserving the highlighted contents in left and right stereo images by using seam carving technique is a challenging job in the current digital era. The seam carving technique minimises 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 3-D stereoscopic images. The method enforces 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 incorporated to minimise the depth distortion score.

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