… The wellknown techniques for image enhancement are the RetiNex-… , Fourier transform,
etc. This paper reviews and compares the research work carried out in image enhancement …

… Based on the frequency-domain spatial of the wavelet transform and the semantic … image
enhancement step by step. In addition, we combine the advantages of the Fourier transform for …

… Image enhancement. We verify our method on the image enhancement task with the
commonly used dataset, LOL [36]. Further, we adopt the two classical baselines, SID [37] and …

… Finally, the image is reconstructed by inverse Fourier transform. At present, … requiring image
recovery by inverse Fourier transform. By simply replacing the inverse Fourier transform with …

… mesh points, aiming to enhance the performance of the algorithm. This … the Fourier domain,
ie, the frequency domain. Fractional differentiation was performed using the Fourier transform …

… phase are produced by Fast Fourier Transform (FFT) and the … phase components in the
Fourier space. The recombined … into a unified image enhancement network is a crucial issue. …

… Firstly, we briefly introduce the operation of the Fourier transform [11]. Given a single
channel image x, whose shape is H × W, the Fourier transform F which converts x to the Fourier …

… Fourier transform-based structure loss for the enhancement … -oriented degraded image
enhancement network to improve … -reference enhancement loss allows the enhancement method …

… The main finding concerning the proposed IEA is that the combination of discrete Fourier
transform and Joseph traversal can enhance the security of the image information, which has …

… Hence, this article introduces novel deep learning (DL) with a fast Fourier transform (FFT) …
many unsolvable problems during image enhancement. When the filter and image sizes aren’t …