… transform for a large data array is a very time-consuming activity even with fast transform …
[7] used the entire local histogram for real-time image enhancement, and Wallis [81 applied …

… Because, by slightly transforming (1), we have R = L/T, where the division is element-wise.
It is apparent that the estimation of T is key to the recovery of R. In this way, the problem is …

… or transformation of the image by (1) restoration operators,(2) enhancement operators,(3) …
with restoration are also relevant to nonrestorative image enhancement (eg, sharpening) …

… image-contrast enhancement based on a generalization of histogram equalization (HE). HE
is a useful technique for improving image … enhancement, at one extreme leaving the image …

… on an enhanced sparse representation in transform domain. The enhancement of the
sparsity is achieved by grouping similar 2-D image fragments (eg, blocks) into 3-D data arrays …

… extensively is used for enhancement of still images, is … image enhancement. Because of
its performance, hardware implementation of this algorithm for enhancement of real-time image …

… The goal of image enhancement is to amplify weak edges and to suppress noise. To this
end, we modify the NSCT coefficients according to the category of each pixel by a nonlinear …

… This paper presents an image fusion schenne which is based on the wavelet transform. The
… , and the new image is obtained by taking the inverse wavelet transform of the fused wavelet …

… of image edges are well known. In this paper, we pursue a “true” two-dimensional transform
that … Thus, unlike other approaches, such as curvelets, that first develop a transform in the …

… We first transform q and M linearly by learned matrices Wq and Wk, respectively. … linear
transformation Wv to the memory M, we compute a weighted average of the transformed memory, …