… out to be extremely useful for several image analysis tasks. This paper first … image
processing applications and aims at demonstrating the usefulness of this transformation for image …

… specific processing modules to handle the super-resolution at multiple scales. First, pre-processing …
Loss functions for neural networks for image processing. arXiv:1511.08861, 2015. 2 …

… of contourlets in several image processing applications. … suggests that for a computational
image representation to be effi… natural image statistics, we identify a “wish list” for new image …

… content of an image such that the performance of imageprocessing tasks such as segmentation
… or so-called image fusion problem. An important preprocessing step in image fusion is im…

… In this paper, we propose a novel image denoising strategy based on an enhanced sparse
… The enhancement of the sparsity is achieved by grouping similar 2-D fragments of the image …

… -Image compression is now essential for applications such as transmission and storage in
data bases. This paper proposes a new scheme for image … ; the original image is decomposed …

We propose a natural scene statistic-based distortion-generic blind/no-reference (NR)
image quality assessment (IQA) model that operates in the spatial domain. The new model, …

… is used to enhance the appearance of an original image. … enhance the edges in an input
image. You just add the option of taking the edge detector result or a value from the input image. …

… of image enhancement have been applied to the problem of removing haze from a single
image, … Single image haze removal has made significant progresses recently, due to the use of …

… Even though RMSE is a common criterion in image processing for recovery, it is not quite
reliable for rating visual image quality [32], as we will see in the following parts. Note that since …