Results 61 to 70 of about 2,474,827 (184)
A Hybrid Approach for CT Image Noise Reduction Combining Method Noise-CNN and Shearlet Transform
Biomedical & Pharmacology JournalThe presence of gaussian noise commonly weakens the diagnostic precision of low-dose CT imaging. A novel CT image denoising technique that integrates the non-subsampled shearlet transform (NSST) with Bayesian thresholding, and incorporates a modern ...
Swapna Katta +3 more
semanticscholar +1 more source
Non-subsample Shearlet Wave Watermarking Algorithm Based on Texture Directionality [PDF]
Jisuanji gongcheng, 2018 In order to solve the problem of the irreconcilability between invisibility and robustness of watermarking algorithm,a novel watermarking algorithm using Non-subsample Shearlet Wave Transform(NSST) is proposed.The algorithm uses shearlet wave transform ...
ZHAO Jian,FAN Shuaishuai,XU Wensheng,ZHANG Wanru
doaj
IEEE Access, 2019 Conventional objective image assessment metrics, such as mean squared error and peak signal-to-noise ratio, which only calculates pixel-based differences between the original and the degraded images, are not in agreement with the human vision.
Wu Dong, Hongxia Bie, Likun Lu, Yeli Li
doaj +1 more source
Low-Light Image Enhancement Based on Nonsubsampled Shearlet Transform
IEEE Access, 2020 To improve the observability of low-light images, a low-light image enhancement algorithm based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed algorithm can synchronously achieve contrast improvement, noise suppression, and
Manli Wang +4 more
doaj +1 more source
Grayscale Image Fusion Based on Finite Discrete Shearlet Transform [PDF]
Jisuanji gongcheng, 2016 To improve the fusion effect of multi-source grayscale image,a new grayscale image fusion algorithm is proposed combining the shift invariance and good directional sensitivity of FDST.The original images after registration are decomposed by FDST,and the ...
ZHOU Yan,ZHOU Yuan,WANG Xuhui
doaj +1 more source
Image registration using the shearlet transform [PDF]
SPIE Proceedings, 2015 In this paper, we present an algorithm for image registration utilizing the shearlet representation. The shearlet framework allows one to collect multi-scale and multi-directional feature information from multidimensional data that can be used to create key feature vectors that are scale, rotation, and shift invariant. These key feature vectors produce
Glenn R. Easley +2 more
openaire +1 more source
Cone-Adapted Shearlets and Radon Transforms [PDF]
, 2020 19 pages, 3 ...
Bartolucci F., De Mari F., De Vito E.
openaire +3 more sources
One-shot structured light illumination based on shearlet transform.
Optics ExpressBalancing speed and accuracy has always been a challenge in 3D reconstruction. One-shot structured light illuminations are of perfect performance on real-time scanning, while the related 3D point clouds are typically of relatively poor quality ...
Rui Gao +5 more
semanticscholar +1 more source
IMAGE DENOISING USING WAVELET AND SHEARLET TRANSFORM
International Journal of Research -GRANTHAALAYAH, 2017 Image plays an important role in this present technological world which further leads to progress in multimedia communication, various research field related to image processing, etc. The images are corrupted due to various noises which occur in nature and poor performance of electronic devices. The various types of noise patterns observed in the image
Bharath Kumar S +4 more
openaire +3 more sources
Fast Finite Shearlet Transform
, 2012 In recent years it has turned out that shearlets have the potential to retrieve directional information so that they became interesting for many applications. Moreover the continuous shearlet transform has the outstanding property to stem from a square integrable group representation.
Häuser, S., Steidl, G.
openaire +2 more sources