학술논문

Reversible Logic Implementation of Image Denoising for Grayscale Images
Document Type
Conference
Source
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS) Circuits and Systems (MWSCAS), 2020 IEEE 63rd International Midwest Symposium on. :138-141 Aug, 2020
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Adders
Image color analysis
Image denoising
Logic gates
Filtering
Calculators
Microsoft Windows
Reversible circuits
RGB to Gray
FPGA
Reversible Logic Implementation
Language
ISSN
1558-3899
Abstract
Reversible logic has emerged as a solution for the limit set by power consumption of devices on reduction of transistor size. This paper aims at introducing reversible logic based implementation for image processing units. A image denoising module is implemented using reversible logic gates. Gray equivalent of an RGB input is processed using a mean filter to remove the noise present in the images. Mean filter with spatial window size of 2×2 and 4×4 is implemented. The verification of functionality is carried out on Kintex 7 using Verilog. The architectures are analysed in terms of power consumption and hardware utilised. The reversible logic implementation is done and the efficacy is measured in scales of gate count(GC), ancilla inputs(AI), quantum cost(QC) and garbage output(GO). The proposed work can act as the initial blocks in image compression algorithm implementations in reversible logic.