Results 11 to 20 of about 901 (179)
Use of Contourlets for Image Retrieval [PDF]
, 2005 We propose a simple technique for content-based image retrieval (CBIR) using contourlets that possess not only the multi-resolution time frequency localization properties of wavelets but are also good at capturing the directional information. Statistical features extracted from contourlet coefficients on each subband of the decomposed image, capturing ...
Rajashekhar, Subhasis Chaudhuri
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A Contourlet-Based Image Denoising Technique with Coefficient Threshold Level Estimation
Tikrit Journal of Engineering Sciences, 2013 In this paper, a new image denoising technique is proposed based on contourlet transform. Many random images are generated simulating the standard deviation level of the original noisy image and the contourlet threshold level is then calculated based on ...
Akram A. Dawood
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Journal of Computers, 2012 Contourlet transform is an effective solution to solve two or more dimensional singularity and has good direction and anisotropy. Against the shortage of ability of describing the spatial distribution characteristic of object’s edge information, this paper proposed a new image retrieval algorithm based on Contourlet transform, which blocks the indexed ...
Jian Wu 0002 +3 more
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Entropy, 2015 Image denoising is a very important step in cryo-transmission electron microscopy (cryo-TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it addresses the problem of high noise in these images, that leads to a loss of ...
Soumia Sid Ahmed +5 more
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Balkan Journal of Electrical and Computer Engineering, 2019 A noiseless image is desirable for many applications. However, this is not possible. Generally, wavelet-based methods are used to noise reduction. However, due to insufficient performance of wavelet transforms (WT) on images, different multi-resolution analysis methods have been proposed.
Muhammet Fatih ASLAN +2 more
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Contourlets: a directional multiresolution image representation
Proceedings. International Conference on Image Processing, 2003 We propose a new scheme, named contourlet, that provides a flexible multiresolution, local and directional image expansion. The contourlet transform is realized efficiently via a double iterated filter bank structure. Furthermore, it can be designed to satisfy the anisotropy scaling relation for curves, and thus offers a fast and structured curvelet ...
Minh N. Do, Martin Vetterli
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Image Fusion Algorithm Combining V-transform with Contourlet Transform [PDF]
Jisuanji gongcheng, 2017 When the V-transform is used to express an image,a coarse to fine multi-scale feature description can be obtained by increasing the number of basis functions of the V-system.But the V-system is not suitable for describing the direction feature of images ...
SONG Ruixia,WANG Meng,WANG Xiaochun
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A Comparative Study of Shearlet, Wavelet, Laplacian Pyramid, Curvelet, and Contourlet Transform to Defect Detection [PDF]
Journal of Soft Computing in Civil Engineering, 2023 This study presents a new approach based on shearlet transform for the first time to detect damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet transforms to specify different types of defects in plate structures ...
Sepideh Vafaie, Eysa Salajegheh
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High Capacity Audio Steganography Based on Contourlet Transform [PDF]
Tikrit Journal of Engineering Sciences, 2018 The science of hiding information behind other cover media file is known steganography. Audio steganography means that a secret message is hidden by embedding it in an audio file.
Abbas Salman Hameed
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Classification Mammogram Images Using ID3 decision tree Algorithm Based on Contourlet Transform [PDF]
Engineering and Technology Journal, 2015 Breast cancer is the most common malignancy of women and is the second most common and leading cause of cancer deaths among them. At present, there are no effective ways to prevent breast cancer, because its cause is not yet fully known.
Matheel Emaduldeen Abdulmunim +1 more
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