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Motion compensated prediction (MCP) plays an important role in video coding due to its great capability of reducing temporal redundancy. In this paper, we propose a new MCP scheme by adaptive patch matching with the full use of the reconstructed pixels surrounding the current block (referred to as the template inside the patch) aiming at achieving a more accurate prediction than conventional MCP....
Automatic fingerprint identification is one of the most important biometric technologies. Automatic fingerprint identification depends mainly on the comparison of ridge characteristics. The ridge characteristics include ridge ending, ridge bifurcation. How to extract those minutiae effectively is the key of automatic fingerprint identification. This paper uses a square Gabor filter using local average...
This paper addresses the super-resolution problem for low quality cartoon videos widely distributed on the web, which are generated by downsampling and compression from the sources. To effectively eliminate the compression artifacts and meanwhile preserve the visually salient primitive components (e.g., edges, ridges and corners), we propose an adaptive regularization method depending on the degradation...
This paper presents a new directional image interpolator, aiming to increase image resolution with high perceptual quality and low computational complexity. In our method, missing pixels in a magnified image are generated through linear interpolation on certain fixed supports to facilitate fast implementation, while local directional features are imposed on the adaptive interpolation weights which...
This paper proposes a video coding scheme, in which textural and structural regions are selectively removed in the encoder, and restored in the decoder by spatio-temporal texture synthesis and edge-based inpainting. In the proposed scheme, two types of regions are classified based on two motion models: local motion and global motion. In local motion regions, conventional block-based motion estimation...
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