DIGITAL Image Processing (DIP) involves the modification of digital data for improving the imagequalities with the aid of computer. The processing helps inmaximising clarity, sharpness and details of features ofinterest towards n format on extraction and further analysis.This form of remote sensing ...
Phillipe Réfrégier, François Goudail, "Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach" Springer | 2003 | ISBN: 030647865X | 266 pages | DJVU | 5.1 MB Statistical Processing Techniques for Noisy Images pres
machine-learning autoencoder image-denoising noisy-images sidd-dataset ground-truth-images Updated Mar 20, 2022 Jupyter Notebook yuvalofek / Digital-Image-Processing Star 1 Code Issues Pull requests Independent study on digital image processing with a focus on computer vision and image super-re...
The three main tools in the single image restoration theory are the maximum likelihood (ML) estimator, the maximum a posteriori probability (MAP) estimator... M Elad,A Feuer - 《IEEE Transactions on Image Processing》 被引量: 2146发表: 2002年 Review of super-resolution techniques for passive ...
A novel method is proposed to detect and Alter pepper and salt noise in an image based on pulse coupled neural network (PCNN) firing matrix, which contains the spatial information and time information of the original image. The PCNN structure is simplified to avoid selecting too many parameters...
关键词: image denoising image enhancement image enhancement method noisy image sharpening Frequency domain analysis Gaussian noise Image enhancement Low pass filters Noise measurement 会议名称: 2010 International Conference on Audio, Language and Image Processing ...
Comparing noisy patches for image denoising: a double noise similarity model. Liu, G., Zhong, H., and Jiao, L.: `Comparing noisy patches for image denoising: a double noise similarity model,' IEEE Transactions on Image ... Ganchao,Liu,Hua,... - 《IEEE Transactions on Image Processing ...
(i.e., data augmentation) or 2) pre-processing the noisy image by learning to solve the inverse problem (i.e., image denoising). However, such methods generally exhibit inefficient process and unstable result, limiting their practical applications. In this paper, we explore a non-learning ...
Poisson denoisingPoisson deblurringImage processingThe easy-to-compute Anscombe transform offers a conversion of a Poisson random variable into a variance ... A Rond,R Giryes,M Elad - 《Journal of Visual Communication & Image Representation》 被引量: 41发表: 2016年 Stopping rules for a nonnegativ...
1988; Goovaerts, 1992b; Goulard and Voltz, 1993; Raspa et al., 1993), in hydrogeology (Rouhani and Wackernagel, 1990; Goovaerts et al. 1993), in mining (Sousa, 1989) and in image processing (=-=Daly et al., 1989-=-). Various methods of data analysis can be adapted for ...