Patent
Image processing based on local noise statistics
Suk Hwan Lim,Pavel Kisilev +1 more
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TLDR
In this article, a function relating a noise statistic to pixel intensity values is applied to a plurality of pixels in the image, the function relating the noise statistic function to the pixel intensity value, and each pixel is processed with respect to its noise statistic value.Abstract:
Processing of a digital image includes applying a function to a plurality of pixels in the image, the function relating a noise statistic to pixel intensity values. By applying the noise statistic function, a noise statistic value is produced for each of the pixels. Each of the pixels is processed with respect to its noise statistic value.read more
Citations
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Methods and Systems for Processing Film Grain Noise
Byung Tae Oh,Shaw-Min Lei +1 more
TL;DR: In this paper, the authors present systems and methods for image noise characterization, parameterization, removal, reconstruction and/or re-combination with a denoised image, including a method for image denoising.
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Apparatus, method, mobile station and computer program product for noise estimation, modeling and filtering of a digital image
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TL;DR: In this article, a signal-dependent noise model is used that provides the pointwise (or pixelwise) standard deviation of the temporal noise of raw data outputted from a digital imaging sensor as a function of the image intensity.
References
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Generating replacement data values for an image region
TL;DR: In this paper, a region is healed by propagating values in a boundary region into replacement data values for the selected image region by iteratively applying a procedure or algorithm, such that values in the boundary region are continuously put back into the iterative calculations.
Patent
Method of spatially filtering digital image for noise removal, noise estimation or digital image enhancement
Edward B. Gindele,Navid Serrano +1 more
TL;DR: In this article, a method of spatially filtering a digital image includes selecting a pixel of interest in the source digital image, calculating two or more noise free pixel estimates for the pixel of interests using pixel values sampled in a local region about the pixel, and selecting a final noise-free pixel estimate from the estimated pixel estimates, and repeating for other pixels in the image to provide a spatially filtered digital image.
Patent
Method for the temporal filtering of the noise in an image of a sequence of digital images, and device for carrying out this method
TL;DR: In this article, a method for temporal filtering of noise in an image of a sequence of digital images, formed as from a first instant (to) until a last instant (t), with pixels having intensity values which correspond to each instant and are referred to as samples, includes an evaluation, for a given pixel, of a temporally filtered sample (Pt p) of the last instant by means of a first linear combination of the filtered sample(Pt-1 c) of each instant but one whereto a first weight (W1) has been assigned, modulated by
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Method for sharpening a digital image with signal to noise estimation
TL;DR: In this article, a method of sharpening a digital image having image pixels according to its noise content, including the steps of providing an image sharpener having a variable parameter of the sharpening, generating a noisy pixel belief map corresponding spatially to the image pixels having belief values indicating the likelihood that the modulation about respective pixels are due to system noise.
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Video processing for storage or transmission
TL;DR: In this paper, a method of processing digital video information in real time involves reading-in digital data representing pixels of successive video frames, e.g. from a digitiser, which is initially stored and subjected to an idealization treatment to choose and pre-select representative values for pixel characteristics which are then adopted in the further processing.