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In this paper, we propose a novel method for 4D light-field (LF) depth estimation exploiting the special linear structure of an epipolar plane image (EPI) and locally linear embedding (LLE). Without high computational complexity, depth maps are locally estimated by locating the optimal slope of each line segmentation on the EPIs, which are projected by the corresponding scene points. For each pixel...
Specular reflection removal is indispensable to many computer vision tasks. However, most existing methods fail or degrade in complex real scenarios for their individual drawbacks. Benefiting from the light field imaging technology, this paper proposes a novel and accurate approach to remove specularity and improve image quality. We first capture images with specularity by the light field camera (Lytro...
Depth estimation from defocus (DFD) has proved to be an efficient way to recover depth information based on the blur amount of defocus images. By introducing a multi-scale strategy into DFD, a novel depth estimation method from a single defocused image is proposed in this paper. The original input image is re-blurred using Gaussian kernels with different scale parameters, then a robust estimation...
In multiview distributed video coding (DVC) systems, both temporal and inter-view correlations can be exploited through a fusion scheme to generate a better side information (SI) in order to improve the rate distortion (R-D) performance. However, many fusion methods available can not always achieve considerable performance for the influence of some subjective factors. In this paper, we present a new...
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