Novel Algorithm for Converting 2D Image to Stereoscopic Image with Depth Control using Image Fusion
2013-12-10 15:14:57   来源：   评论：0 点击：

Abstract—The Stereoscopic image provide information on details of each object in the image in three dimension and helps to observe the image in a better way. The Stereoscopic images are also called as 3D images. The 3D Digital Cameras, 3D Televisions, 3D Projectors etc. are commonly available in the electronic stores in a reasonable price. The people prefer 3D images than the 2D image. The 3D image provides more information than the 2D image. The 3D image makes the people to experience real time world in a 2D device. The medical field uses 3D Scan image as a diagnostic tool for various diseases. There are many scientists working in the area of 3D images and movies. A faster 2D to 3D conversion algorithm is developed using Image Fusion technique. The algorithm creates two images one as left eye view and another one as right eye view with reference to the user defined depth. These left view image and right view image are fused with mean value. The left view image and fused image are stored in the 3D image format MPO and shall be viewed in 3D capable device.

Index Terms— 3D image, stereoscopic image, conversion of 2D to 3D image, image fusion

Cite: Saravanan Chandran, "Novel Algorithm for Converting 2D Image to Stereoscopic Image with Depth Control using Image Fusion," Lecture Notes on Information Theory, Vol. 2, No. 1, pp. 68-71, March 2014. doi: 10.12720/lnit.2.1.68-71