… In our work, we investigate the impact of different loss function layers for image processing.
Consider the case of a network that performs denoising and demosaicking jointly. The insets …

… Geometric regularity has important effects on the visual quality of a natural image such as …
becomes paramount in many image processing tasks. In the scenario of image interpolation, …

… image modeling, where the complexity of local structures is not well described by Gaussian
densities. The power of statistical image … image processing tasks by decomposing the image …

… Image processing devices with a feedback architecture, such as those manufactured by
Comtal, DeAnza, and Vicom, can do simple operations on one or more whole images in a frame …

… His scientific interests include signal and image processing, pattern recognition, optimization…
His scientific interests include image processing and analysis, computer vision, statistical …

… As its first edition, this book should appeal … to practitioners of image processing, who …
image processing applications. … It will be of most benefit to engineers and image processing …

… computer vision and image processing applications, particularly to locate object … image
edges.We can use any gray-level or binary edge map defined in the image processing …

… the watermarked image to a series of image processing and collusion style attacks. These
experiments are preliminary, but show resilience to certain types of common processing. Of …

… of the MSRCR to other image enhancement methods, we have done some preliminary tests
of the MSRCR relative to the simpler image enhancement methods—histogram equalization…

… processing, and has been applied to such diverse phenomena as numerical image
processing, … Attention is given to pyramid algorithms for numerical image processing, time-frequency …