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A common assumption in stereo matching is that the corresponding pixels in stereo images have similar pixel values. Unfortunately, such an assumption may not be true due to radiometric variations in different views, leading to severely degraded matching results. In this letter, we propose a radiometrically invariant stereo matching algorithm called Optimal(More)
—To achieve superior performance, rate-distortion optimized motion estimation (ME) for variable block size (RDO-VBSME) is often used in state-of-the-art video coding systems such as the H.264 JM software. However, the complexity of RDO-VBSME is very high both for software and hardware implementations. In this paper, we propose a hardware-friendly ME(More)
In this paper, a novel plane fitting algorithm with low complexity and high accuracy is proposed to refine the depth maps generated by stereo matching. We first compute the confidence coefficient for each pixel in the depth map by cross checking and stable pixel calculation. According to the outlier pixel percentage for each segment, we choose one method,(More)
— The deblocking filter in H.264/AVC is one of the most time consuming part of video decoder as its high content adaptation and data dependency lead to lots of computation. In this paper, we propose a novel parallel deblocking filter design based on the H.264/AVC video coding standard, taking the advantage that the data dependency of the deblocking filter(More)
In this paper, we propose a simple but effective adaptive bilateral filter considering local characteristics. The presented method exploits the local gaussian gradient information of the processing image and applies bilateral filter with changing the range filter parameter $\sigma_{r}$ adaptively. The proposed adaptive bilateral filter could preserve more(More)
—In this paper, we propose an advanced color image denoising scheme called multichannel nonlocal means fusion (MNLF), where noise reduction is formulated as the minimization of a penalty function. An inherent feature of color images is the strong interchannel correlation, which is introduced into the penalty function as additional prior constraints to(More)
—Cost aggregation is the most essential step for dense stereo correspondence searching, which measures the similarity between pixels in the stereo images. In this paper, based on the analysis of the optimal adaptive weight, we propose a novel support aggregation strategy by adaptive weighting selection. The proposed method calculates the aggregation cost by(More)
Least square regression has been widely used in image interpolation. Some existing regression-based interpolation methods used ordinary least squares (OLS) to formulate cost functions. These methods usually have difficulties at object boundaries because OLS is sensitive to outliers. Weighted least squares (WLS) is then adopted to solve the outlier problem.(More)
Multimedia streaming service providers such as YouTube often need to design caching strategy based on predicted future media content propagation pattern. It is commonly observed that social network behavior tends to have great correlation with the content propagation pattern. In this paper, we propose an Advanced Independent Cascade Model (AICM) which is an(More)