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Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: Adaptive Total Variation Regularization
Based SAR Image Despeckling and
Despeckling Evaluation Index
Abstract—We introduce a total variation (TV) regularization model for synthetic
aperture radar (SAR) image despeckling. A dual-formulation-based adaptive TV
(ATV) regularization method is applied to solve the TV regularization. The
parameter adaptation of the TV regularization is performed based on the noise
level estimated via wavelets. The TV-regularization-based image restorationmodel
has a good performance in preserving image sharpness and edges while removing
noises, and it is therefore effective for edge preserve SAR image despeckling.
Experiments have been carried out using optical images contaminated with
artificial speckles first and then SAR images. A despeckling evaluation index
(DEI) is designed to assess the effectiveness of edge preserve despeckling on SAR
images, which is based on the ratio of the standard deviations of two neighborhood
areas of different sizes of a pixel. Experimental results show that the proposed
ATV method can effectively suppress SAR image speckles without compromising
the edge sharpness of image features according to both subjective visual
assessment of image quality and objective evaluation using DEI.
Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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  • 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Title: Adaptive Total Variation Regularization Based SAR Image Despeckling and Despeckling Evaluation Index Abstract—We introduce a total variation (TV) regularization model for synthetic aperture radar (SAR) image despeckling. A dual-formulation-based adaptive TV (ATV) regularization method is applied to solve the TV regularization. The parameter adaptation of the TV regularization is performed based on the noise level estimated via wavelets. The TV-regularization-based image restorationmodel has a good performance in preserving image sharpness and edges while removing noises, and it is therefore effective for edge preserve SAR image despeckling. Experiments have been carried out using optical images contaminated with artificial speckles first and then SAR images. A despeckling evaluation index (DEI) is designed to assess the effectiveness of edge preserve despeckling on SAR images, which is based on the ratio of the standard deviations of two neighborhood areas of different sizes of a pixel. Experimental results show that the proposed ATV method can effectively suppress SAR image speckles without compromising the edge sharpness of image features according to both subjective visual assessment of image quality and objective evaluation using DEI.
  • 2. Software & Hardware requirement: 1. Hardware requirement: 1. PC 2. RAM minimum 2GB 3. HDD minimum 100GB 2. Software requirement: 1. MATLAB 7.0 2. Signal processing toolbox 3. Image processing toolbox 4. Mathematical toolbox PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com