Soft-Edge Assisted Network for Single Image Super-Resolution

Soft-Edge Assisted Network for Single Image Super-Resolution

₹5,000.00
Product Code: Matlab-Digital Image Processing
Availability: In Stock
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Product Description

                                            Domain: Image Processing                                               Tool: MATLAB R2018a

Objective:

The main aim of this project is used to enhance the image by using deep learning techniques.

Abstract:

Single image super-resolution (SISR) is an extremely hot topic in the field of computer vision, which aims to reconstruct a super-resolution (SR) image from a single low resolution (LR) one. The soft edge has been widely applied in many computer vision tasks as the role of an important image feature. A soft edge reconstruction network is the CNN model used to reconstruct the image soft-edge directly from the LR image. The Edge Net can work independently for the image soft-edge reconstruction, or be embedded as a subnet into any SR model to provide image soft-edge prior for high-quality SR image reconstruction. In the proposed system we used to improve the visibility of underwater images, early researchers use the traditional techniques of image processing. The method of image contrast enhancement on the basis of the contrast distribution at the boundaries of objects and background on the image is proposed.


Proposed System:

In the proposed system we used to improve the visibility of underwater images, early researchers use the traditional techniques of image processing. We proposed a dehazing algorithm based on the difference structure preservation prior, which can estimate the optimal transmission map and restore the actual scene. The method of image contrast enhancement on the basis of the contrast distribution at the boundaries of objects and background on the image is proposed. The proposed method also classifies the name of the medical plant under observation.


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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.