3D Stereo Image Retargeting Using Disparity Map Acquisition Technique

Abstract

Gaining popularity in the digital world levies the challenge to maintain the semantic newlineconsequences of the original image while displaying it on any arbitrary device, irrespective newlineof its size or aspect ratio is the well-known Image Retargeting . When the image is to be newlineselected by focusing on its objective s, then the inadequate regions of the images are newlineidentified and taken out. The historical method visualizes the legitimate respect for the pixels newlineby considering its bottom to top elegance. On the divergent, the projected method newlineemphasized on top to down approach. This feature is extensively applied on 3D images that newlinefuses left as well as right eye stereo images which are having different perspectives and newlinedifferently designed. Disparity map acquisition technique fuses the images with semantic newlineassortment of the images. newlineSelecting the proper aspect ratio and managing the image depth can progress the visual newlinequality of image by minimizing the depth distortion score. This technology has raised the newlinehabit of people to carry the small mobile handheld devices and their interest in watching the newlinecontents over it. The technology enhanced by retargeting the images with different sizes and newlineaspect ratio by still preserving the content of the image without cropping or scaling the newlineoriginality. A popular stereo image retargeting method has been proposed to visualize 3D newlineimages in better aspect for human stereo visual experience. Experimental results showing the newlineadjustment of aspect ratio to reduce distortion of depth by increasing the visualization effect newlineof the image. The usability of depth similarity is used during the retargeting process. Depth newlinesimilarity can be applied before and after the retargeting. The Disparity Map Acquisition newline(DMA) provides better 3D visual effects with a modified version. newline