Results 71 to 80 of about 53,992 (120)

A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. [PDF]

open access: yesNeuroimage, 2016
Ning L   +6 more
europepmc   +1 more source

Rotation-invariant multiresolution texture analysis using radon and wavelet transforms. [PDF]

open access: yesIEEE Trans Image Process, 2005
Jafari-Khouzani K, Soltanian-Zadeh H.
europepmc   +1 more source
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Arbitrarily Shape Object-based Video Coding Technology by Finite Ridgelet Transform

2018 IEEE International Conference on Information and Automation (ICIA), 2018
Video object coding is one of the most important functions of MPEG4. In this paper, we propose a new object based finite ridgelet transform for arbitrary shape video coding, including static and video objects. The method uses the shape adaptive finite ridgelet transform (SA Ridgelet transform) for the object coding, and uses the more efficient lifting ...
Zhenghua Shu   +3 more
exaly   +3 more sources

Efficient Blind Image Separation Using Finite Ridgelet Transform

2013 23rd International Conference on Computer Theory and Applications (ICCTA), 2013
This paper deals with the problem of blind separation of digital images from noisy mixtures. It proposes the application of a blind separation algorithm on Ridgelet Transform (RT) of the mixed images, instead of performing the separation on the mixtures in the time domain.
El-Sayed M El-Rabaie
exaly   +3 more sources

The Finite Ridgelet Transform for Defeat Detection of Quill

Advanced Materials Research, 2011
A defeat detection method for quill using the finite ridgelet transform is mentioned. This method reduce the average gray values of quill and analytic statistics methods are used in ridgelet transform according to points of quill. After ridgelet transform the linear singularity is further highlighted and the quantization errors caused by cutting image ...
Hong Jiang Liu   +3 more
exaly   +3 more sources

An Approximate Finite Ridgelet Transform Algorithm for SAR Image Segmentation

2006 8th international Conference on Signal Processing, 2006
The finite ridgelet transform proposed by Donoho has successful application in edge detection and segmentation of images with high-noise, but it has a drawback which is due to annoying "wrap-around" effect to the finite Radon transform. As a result, it may also produce "alias" edges and "holes" in the reconstructed image.
Mingyi He
exaly   +3 more sources

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