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Retinex Based Low-Light Image Enhancement

A Low Cost FPGA Implementation of Retinex Based Low-Light Image Enhancement Algorithm

Original price was: ₹25,000.00.Current price is: ₹16,000.00.

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Source : Verilog HDL

Base Paper Abstract:

Real-time low-light image enhancement has several potential applications, such as advanced driver assistance systems (ADAS), remote sensing, object tracking, etc. The Retinex-based algorithms are mostly used to restore the visibility of low-light images. However, they perform complex mathematical operations over a large spatial window. Consequently, their hardware realization is tedious, and few researchers have attempted to address this problem. In this brief, we propose a Retinex-based algorithm that employs a low-cost edge-preserving filter for illumination estimation. Although certain approximations are used to curtail the hardware logic resource requirement, the quality of the enhanced image is not compromised. The proposed architecture requires only 10868 LUTs and 7409 registers when implemented on ZynQ 7 FPGA. Moreover, it can process HD images (1920×1080) at the rate of 60 frames per second (fps).

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison with output video 
3. Basic Documentation (20 to 30 Pages):
3.1 Proposed Title
3.2 Proposed Abstract
3.3 Advantages & Disadvantages
3.4 Improvement of this Project
3.5 Existing System with Notes
3.6 Proposed System with Notes
3.7 Literature Survey
3.8 Software Related Notes
3.9 VLSI and HDL Language / Tanner Notes
3.10 References & Reference Paper for More Pages
4. Online Support ( Any Desk / Zoom / Google Meet)

 

Development of this project:

  • To design the FPGA based low light image enhancement at 256×256 image resolution, with LOL datasets.
  • To analysis different images with PSNR, SSIM, and MSE.
  • To developed this work in Verilog HDL, and synthesize using Xilinx Vertex-5 FPGA.

 

Software Implementation:
  • Modelsim
  • Xilinx

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A Low Cost FPGA Implementation of Retinex Based Low-Light Image Enhancement Algorithm

 

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  • Customer are advice to watch the project video file output, before the payment to test the requirement, correction will be applicable.
  • After payment, if any correction in the Project is accepted, but requirement changes is applicable with updated charges based upon the requirement.
  • After payment the student having doubts, correction, software error, hardware errors, coding doubts are accepted.
  • Online support will not be given more than 3 times.
  • On first time explanations we can provide completely with video file support, other 2 we can provide doubt clarifications only.
  • If any Issue on Software license / System Error we can support and rectify that within end of the day.
  • Extra Charges For duplicate bill copy. Bill must be paid in full, No part payment will be accepted.
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Retinex Based Low-Light Image Enhancement A Low Cost FPGA Implementation...

Original price was: ₹25,000.00.Current price is: ₹16,000.00.

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