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In this paper, we propose a new frame rate up conversion method for multiview video. The proposed method uses the depth map and neighboring view information for the improvement of motion estimation and compensation accuracy. In details, it decomposes a block into multiple layers with depth map. Then it estimates the occluded regions in the lower layer using their neighboring view information, which...
This paper presents a rate-distortion (RD) optimal motion estimation for depth coding. The view synthesis distortion is widely used in 3D video coding since it is a good approach to reduce the depth bit-rate without degradation of rendering quality. However, view synthesis distortion method is only applied to a mode decision process until now. The proposed method applies the view synthesis distortion...
The paper presents a fast motion estimation scheme for depth map coding. The distortion measuring process has many redundant operations due to the piece-wise planner property of the depth map. The proposed scheme is designed to reduce those redundant operations by grouping each block into one or two representative values. Then, the entire pixel computations in a block are replaced with a few operations...
This paper presents a fast joint texture/depth bit-allocation method for 3DV coding. As compared to the previous bit-allocation schemes in which the pre-encoding process is required to determine model parameters, the proposed scheme proposed the real-time joint bit-allocation scheme without any pre-encoding process. As a result, any scene change detection for adaptive model parameter changes is also...
This paper presents an efficient intra prediction scheme for depth map coding in multi-view plus depth (MVD) system. As compared to the conventional intra prediction algorithm, the proposed method segments the current block into k regions, and applies different prediction scheme for each segmented region, which results in higher prediction accuracy by avoiding wrong estimation across different regions...
The denoising performance of the Non-Local Means (NLM) method decreases as the variance of additive white Gaussian noise becomes higher. In this paper, we explain this phenomenon and propose a modified version of the Non-Local Means (NLM) method, called the Enhanced-Weights NLM (EWNLM) algorithm, to denoise highly noisy images. The EWNLM algorithm evaluates weights from a pre-filtered image using...
An adaptive image denoising technique based on the nonlocal means (NL-means) algorithm is investigated in this research. The proposed method first employs the singular value decomposition (SVD) method and the K-means clustering (K-means) technique for robust block classification in noisy images. Then, the local window is adaptively adjusted to match the local property of a block. Finally, a rotated...
A texture interpolation technique based on the locally piecewise auto-regressive (PAR) model and the non-local (NL) training procedure is investigated in this work. The proposed PAR/NL scheme selects model parameters adaptively based on local image properties with an objective to improve the interpolation performance of nonadaptive models, e.g., the bicubic algorithm. To determine model parameters...
This paper presents a synthesis-based texture coding technique that uses low-quality video as side information to control the output texture for video compression. As compared with the current pure synthesis algorithm, the proposed algorithm is generic, in the sense that the behavior and quality of the output texture can be adjusted by the amount of the side information and determined by the user...
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