An optimized hardware design of a two-dimensional guide filter and its application in image denoising

2022 ◽  
Author(s):  
Xin Tang ◽  
Wenjin Liu ◽  
Jia Ren ◽  
Yukuan Du ◽  
Baodan Chen
Keyword(s):  
Image Denoising ◽  
Hardware Design ◽  
Two Dimensional

Thresholding-Based Image Denoising Using Two-Dimensional S-Transform

2012 ◽  
Author(s):  
Yu-huan Luan ◽  
Feng-rong Sun ◽  
Paul Babyn ◽  
Shang-ling Song ◽  
Gui-hua Yao ◽  
...  
Keyword(s):  
Image Denoising ◽  
Two Dimensional ◽  
S Transform

scholarly journals A Review on Image Denoising Techniques

2021 ◽  
Vol 9 (12) ◽  
pp. 761-764
Author(s):  
Smita Vasant Tempe
Keyword(s):  
Image Denoising ◽  
Visual Information ◽  
Filter Banks ◽  
Geometrical Structure ◽  
Two Dimensional ◽  
Sampled Data ◽  
Discrete Domain ◽  
Continuous Domain

Abstract: The goal of this study is to find a "genuine" two-dimensional transform that can capture the fundamental geometrical structure that is important in visual information. The discontinuous character of the data is the most difficult aspect of analysing geometry in photographs. Unlike previous approaches, such as curvelets, which generate a transform in the continuous domain and then discretize for sampled data, we begin with a discrete-domain construction and then investigate its convergence to a continuous-domain expansion. We use nonseparable filter banks to create a discrete-domain multiresolution and multidirection expansion, similar to how wavelets are produced from filter banks. As a result of this construction, a flexible multiresolution, local, and directed picture expansion employing contour segments is obtained, and it is therefore useful.

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