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This paper presents a novel image restoration algorithm using examples and truncated constrained least squares (TCLS) filter for ultra-high definition (UHD) television systems. The proposed approach consists of three steps: (i) generation of the patch dictionary using multiple-step image blurring, (ii) selection of the optimum patch based on the orientation and the amount of blurring, and (iii) combination...
Handheld camera such as a mobile phone, action camera, and portable camcorder suffer from video instability due to unintentional shakes. This paper presents a video stabilization approach to enhance a shaky video acquired by consumer handheld camera. The proposed algorithm consists of three steps: i) generation of the binary image based on vertical class, ii) estimation of homography, and iii) frame...
This paper presents a multi-frame superresolution approach to reconstruct a high-resolution image from several low-resolution video frames. The proposed algorithm consists of three steps: i) definition of a local search region for the optimal patch using motion vectors, ii) adaptive selection of the optimum patch based on lowresolution image degradation model, and iii) combination of the optimum patch...
This paper presents a multi-frame example-based super-resolution (SR) algorithm using locally directional self-similarity. Existing example-based super-resolution algorithms generate patches using multiple training images or single self-image. On the other hand the proposed method minimizes the patch mismatching error by generating a patch dictionary in a local region of multiple, adjacent frames...
In this paper, we present a robust recognition method for license plate numbers that are severely distorted by down-sampling, low light level illumination, and geometric distortion. The proposed method adopts a novel approach, where a set of reference license plate images are intentionally degraded using the same degradation factors estimated from the input distorted images. We first generate a set...
This paper evaluates the performance of recognizing severely distorted license plate numbers in the sense of resolution, illumination, and geometric transformations. The proposed recognition method first estimates degradation parameters from an input image. Next, a set of reference images are transformed using the estimated degradation parameters. The recognized number is then obtained by comparing...
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