A Review on Application of Fourier Transform in Image Restoration
Ann Maria John, Kiran Khanna, Ritika R Prasad, Lakshmi G Pillai
20202020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)17 citationsDOI
Abstract
Fourier Transform (FT) has been widely used as an image processing tool for analysis, filtering, reconstruction, and compression of images. The relevance of FT is considered in the image reconstruction process. Reconstruction algorithms supported by FT are identified and implemented. Analysis of the performance is made with the image quality assurance metrics like MSE, PSNR, SNR, SSIM, and NIQE. Various filters like an inverse filter, pseudoinverse filter, and Wiener filter are implemented and performance analysis is conducted. Out of these filters, the Wiener filter performs the best, then the other two methods when considering all the image assurance metrics.
Topics & Concepts
Image restorationComputer scienceFourier transformImage (mathematics)Computer visionImage processingMathematicsMathematical analysisImage and Video Quality AssessmentImage and Signal Denoising MethodsAdvanced Image Processing Techniques