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Definition and extraction of local features play a very important role in image retrieval (IR), pattern recognition and computer vision. Fast growth of technology today calls for local features to be as compact as possible toward real-time and limited bandwidth applications. In this paper, we study the problem of representing images in a compact way to achieve low bit-rate transmission while maintaining...
This paper derives the formulae for defocus blur parameter from a single image, based upon the line spread function (LSF). To achieve high accuracy and robustness, the over determining strategies are adopted: 1) a number of LSFs on one edge are extracted; 2) more edges in the images are used. The trust-region method is then employed to obtain the optimal estimation of blur parameter. The experimental...
The type and extent of blur affect image quality and therefore its evaluation. This paper presents an accurate method for blur identification and parameter estimation from one image without a priori knowledge. The key idea of the proposed method is to perform Fourier transform of logarithm spectrum to detect the periodic blur pattern in cepstrum domain instead of spectral nulls. Accordingly, the estimation...
This paper proposes a method for assessing blur caused by defocus from one image. The essential idea is to estimate the point spread function (PSF) from the line spread function (LSF), whereas the LSF is constructed from edge information. The procedure includes edge detection and localization, pixel interpolation, LSF determination and PSF extraction. This approach is independent of image contents,...
In this paper, we propose a new video quality evaluation method, which measures the perceived error between original and distorted images using wavelet just-noticeable-distortion (JND) profile. The error of the subband coefficient that is below the visual detection threshold is ignored while some errors that take place in the content-activity regions are masked. Luminance masking and temporal contrast...
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