… a trainable hybrid network to enhance the visibility of such degraded images. The proposed
… In contrast to previous works, we propose a novel hybrid network consisting of content and …

… a deep-hybrid ill-light image enhancement method and propose a contrast enhancement …
on the above analysis, we propose a hybrid deep convolutional network for ill-light image …

… the first method for enhancing low and ill-light images by using a deep-hybrid FSDG-Net,
which … On the other, our FSDG-Net is a hybrid network with a fraction of seconds training time. …

… light image enhancement method using a hybrid deep-learning network and mixed-norm loss
functions, in which the network … the hybrid net consists of a decomposition-net, illuminance …

… Classification is one of the most important task in hyperspectral image processing. In the last
few … extract features from hyperspectral images (HSI). A novel deep learning framework is …

… , we propose a novel hybrid network with Laplacian enhancing unit for image enhancement.
We … We propose a novel hybrid network with the Laplacian Enhancing Unit (LEU) and the …

… , which comprises an effective image enhancement technique for face image preprocessing,
alongside a new set of hybrid features. Our image enhancement technique adopts the use …

… Aiming at the problems of color bias and noise enhancement on the output image by …
image enhancement algorithm, we propose a deep multi-scale pyramid hybrid network (DMPH-Net…

… using histogram equalization technique and image conversion from gray-scale to RGB.
After image enhancement, we extract features from an enhanced MR brain image using a …

… our phase of image enhancement using two benchmarking datasets. … a hybrid image
enhancement algorithm for color fundus images to boost the image contrast and improve the image …