Motion estimation is the most important module in H.264 video encoding algorithm since it offer the best compression ratio compared to intra prediction and entropy encoding. However, using the allowed features for inter prediction such as variable block size matching, multi-reference frames and fractional pel search needs a lot of computation cycles. For this purpose, we propose in this paper a...

We propose a frame rate up-conversion algorithm using bidirectional optical flow estimation at each pixel based on a previously proposed Hierarchical Optical flow Estimation (HOE) algorithm. The HOE is extended from unidirectional flow estimation to bidirectional flow estimation in which a 3×3×2 multi-dimensional filter and a motion compensated image method are used for high accuracy of flow es...

For stationary or quasi-stationary frames of a video sequence, traditional block matching algorithms (BMA) will easily lead the search to be trapped into a local minimum. In this paper, a novel method called the threshold-aware two-path search (TATPS) block matching algorithm is presented. Different from other BMAs, our proposed TATPS algorithm uses two search paths. With the threshold predeter...

In this paper, we considered a planar perspective transformation between images with overlapping region. It is based on the rectangle-to-quadrilateral mapping and normalized correlations. Initially, the global translation is determined by using a block matching. And to find the correspondence points maximizing correlation in overlapping region by the perspective transformation, we used simulate...

Motion estimation techniques are widely used in today’s video processing systems. The most frequently used techniques are the spatial block matching methods and the differential method. In this paper however, we have studied this topic from a viewpoint different from the above. We prove here the existence of a new and simple frequency algorithm with optimal accuracy. Our method is based on the ...

This paper introduces a depth-computation architecture designed for, but not limited to, a single-chip current mode analog VLSI (aVLSI) implementation of stereo vision. The architecture implements a modified version of the block matching algorithm; pixel blocks are averaged (summed) vertically before comparison along the horizontal axis. This both reduces the effects of noise and provides an or...

This paper presents a pipelined architecture for the hierarchical block-matching motion estimation algorithm (HBMA). The hierarchical style leads enormous computation and complex data flow between hierarchy levels. Each stage of the proposed architecture consists of a systolic array for block-matching and an interpolation unit for bilinear interpolation. The interpolation unit regulates also th...

In this paper, based on the analysis to relationship between the currently being processed block and its neighbors, a motion vector context-based adaptive 3-D recursive search (MVCA-3DRS) block matching motion estimation algorithm is developed. In the proposed algorithm, the candidate vectors are partitioned into two categories, one stationary vector implying the current block belongs to one of...

There are two main streams in up-to-date image denoising algorithms: non-local self similarity (NSS) prior based methods and convolutional neural network (CNN) based methods. The NSS based methods are favorable on images with regular and repetitive patterns while the CNN based methods perform better on irregular structures. In this paper, we propose a blockmatching convolutional neural network ...

For video coding, we have to consider two performance factors, i.e., the search speed and coded video’s quality. Since there is often a trade-off between those performance factors, it is not easy to develop an efficient algorithm in all these aspects. As two feasible video coding algorithms based on the block matching motion estimation, the CDS and HEXBS have been proposed. Although the algorit...