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Algorithm of image fusion based on finite ridgelet transform

SPIE Proceedings, 2007
Finite ridgelet transform (FRIT) overcomes the weakness of wavelet transform representing in two or higher dimensions and FRIT can efficiently represent the singularity of linear in image. When FRIT is applied to image fusion, the characters of original images can be effectively extracted and more important information is preserved. In this paper, we
Kun Liu   +3 more
exaly   +3 more sources

Orthonormal finite ridgelet transform coding using an EBCOT-like algorithm

2012 IEEE International Conference on Information and Automation, 2012
In this paper, an image coding algorithm based on a rate-distortion optimized orthonormal finite ridgelet transform (OFRIT) decomposition and on a block-partitioning coding scheme which quantizes each subband separately is proposed. In this way, our algorithm naturally overcomes the difficulty in defining parent-child relationships for wavelet-based ...
Zhenghua Shu   +5 more
exaly   +3 more sources

Wrap-around effect removal finite ridgelet transform for multiscale image denoising

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
X. Wang
exaly   +4 more sources

Finite Ridgelet Transform for low bit rate image compression

2008 9th International Conference on Signal Processing, 2008
The finite Ridgelet transform (FRIT) was widely used as a sparse representation for images that with linear singularities. Unfortunately, the ldquowrap aroundrdquo effect restricts its application in image compression and denoising. In this paper, The MAP estimator is applied to the coefficients in the finite Radon transform (FRAT) in order to select ...
null Yajie Wei   +2 more
exaly   +3 more sources

Image content authentication algorithm based on finite ridgelet transform

Computer Science, Technology and Application, 2016
Rui-Ling Zhu, Zhuo-Ran Han
exaly   +3 more sources

FFRT: A Fast Finite Ridgelet Transform for Radiative Transport

Multiscale Modeling & Simulation, 2015
This paper introduces an FFT-based implementation of a fast finite ridgelet transform which we call FFRT. Inspired by recent work where it was shown that ridgelet discretizations of linear transport equations can be easily preconditioned by diagonal preconditioning, we use the FFRT for the numerical solution of such equations. Combining this FFRT-based
Simon Etter   +2 more
openaire   +3 more sources

Fired bullet signature correlation using the finite ridgelet transform (FRIT) and the gray level co-occurrence matrix (GLCM) methods

Forensic Science International, 2022
When a bullet is fired from a barrel, micro striation marks caused by the sliding motion of the bullet through the rifled barrel are one of the foremost factors in automated ballistic identification. This paper focuses on 3D topography images of land engraved areas (LEA) and proposes a bullet identification method incorporating the finite ridgelet ...
Jialing, Zhu   +5 more
openaire   +3 more sources

Script Identification of Multilingual Document Images Based on Block Finite Ridgelet Transform and Discrete Curvelet Transform

2020 2nd International Conference on Image Processing and Machine Vision, 2020
In recent years, many script recognition methods have emerged since they were studied as a front-end technique of OCR. These methods generally have a pleasing effect on a particular script, but they are not suitable for all languages. In this paper, we utilize the block finite ridgelet transform(BFRT) and discrete curvelet transform(DCT) and propose a ...
Zheng-Jian Wu   +4 more
openaire   +2 more sources

An efficient VLSI architecture and FPGA implementation of the Finite Ridgelet Transform

Journal of Real-Time Image Processing, 2008
In this paper, an efficient architecture for the Finite Ridgelet Transform (FRIT) suitable for VLSI implementation based on a parallel, systolic Finite Radon Transform (FRAT) and a Haar Discrete Wavelet Transform (DWT) sub-block, respectively is presented.
Shrutisagar Chandrasekaran   +3 more
openaire   +3 more sources

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