Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
L Vincent - IEEE transactions on image processing, 1993 - ieeexplore.ieee.org
… 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 …
processing applications and aims at demonstrating the usefulness of this transformation for image …
Enhanced deep residual networks for single image super-resolution
… 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 …
Loss functions for neural networks for image processing. arXiv:1511.08861, 2015. 2 …
The contourlet transform: an efficient directional multiresolution image representation
MN Do, M Vetterli - IEEE Transactions on image processing, 2005 - ieeexplore.ieee.org
… 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 …
image representation to be effi… natural image statistics, we identify a “wish list” for new image …
Multisensor image fusion using the wavelet transform
H Li, BS Manjunath, SK Mitra - Graphical models and image processing, 1995 - Elsevier
… 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…
… or so-called image fusion problem. An important preprocessing step in image fusion is im…
Image denoising by sparse 3-D transform-domain collaborative filtering
K Dabov, A Foi, V Katkovnik… - … on image processing, 2007 - ieeexplore.ieee.org
… 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 …
… The enhancement of the sparsity is achieved by grouping similar 2-D fragments of the image …
[PDF][PDF] Image coding using wavelet transform.
M Antonini, M Barlaud, P Mathieu… - … Trans. Image Processing, 1992 - academia.edu
… -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 …
data bases. This paper proposes a new scheme for image … ; the original image is decomposed …
No-reference image quality assessment in the spatial domain
A Mittal, AK Moorthy, AC Bovik - … on image processing, 2012 - ieeexplore.ieee.org
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, …
image quality assessment (IQA) model that operates in the spatial domain. The new model, …
[HTML][HTML] Image Processing
D Phillips - The C Users Journal, 1991 - jacobfilipp.com
… 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. …
image. You just add the option of taking the edge detector result or a value from the input image. …
Dehazenet: An end-to-end system for single image haze removal
… 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 …
image, … Single image haze removal has made significant progresses recently, due to the use of …
Image super-resolution via sparse representation
… 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 …
reliable for rating visual image quality [32], as we will see in the following parts. Note that since …