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Conventional depth estimation methods are confined by the occluder and homogenous regions in the scene. In this paper, we propose a new depth estimation and enhancement method. The raw depth is calculated from analyzing the Consistency Metric Range (CMR) in the angular patch. Confident depth map is obtained by analyzing the variation of CMR within a neighborhood around the lowest CMR curves. Confident...
Plenoptic cameras which can capture both spatial and angular light information by one shot have attracted great interests. Compared with traditional cameras, a plenoptic image has large resolution and enormous amounts of microlens images. Due to huge volume of data, an efficient plenoptic image compression method for transmission and storage is required. In this paper, a novel plenoptic image compression...
Nowadays, with the development of Internet technology and the improvement of safety awareness, image encryption technique has become very important, especially for color image encryption. The direction of research is focused on the RGB color space. There are few researches in other color spaces, such as HSV, L∗a∗b∗, YCbCr. In this paper, we propose a color image encryption method in YCbCr color space...
In this paper, we propose a novel method for image based object relighting through patch match warping and color transfer. According to our method, a pair of reference object images (A and B), without any knowledge of the 3D geometry or material information of the input object image, are needed. The input image has similar illumination condition as that of the reference image A. The reference image...
A depth map generally can be divided into the region with sharp edges and the region consisting of nearly constant or slowly varying samples. In this paper, in order to investigate how the distortion in the two regions affect the perceived 3D quality of synthesized stereopairs, a dataset is first built based on distinctive coding for two regions, and then a subjective test is conducted. Based on the...
This paper presents a semantic labeling framework with geodesic propagation (GP). Under the same framework, three algorithms are proposed, including GP, supervised GP (SGP) for image, and hybrid GP (HGP) for video. In these algorithms, we resort to the recognition proposal map and select confident pixels with maximum probability as the initial propagation seeds. From these seeds, the GP algorithm...
During the depth image based rendering (DIBR), depth map is a new type of video sequence to be compressed. The synthesized result of DIBR is highly related to the quality of the depth map. Depth map also has some new features than color maps. It occurs to us that some improvement is required. Higher efficiency and keeping the edge quality is two critical issues for depth compression. In this paper,...
Depth map coding is a new topic in multiview video coding (MVC) following the development of depth-image-based rendering (DIBR). Since depth map is monochromatic and has less texture than color map, fast algorithm is necessary and possible to reduce the computation burden of the encoder. This paper proposed difference detection based early mode termination strategy. The difference detection (DD) algorithms...
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