Results 1 to 10 of about 656,594 (178)
Noise Removal in the Developing Process of Digital Negatives. [PDF]
Sensors (Basel), 2020 Most modern color digital cameras are equipped with a single image sensor with a color filter array (CFA). One of the most important stages of preprocessing is noise reduction. Most research related to this topic ignores the problem associated with the actual color image acquisition process and assumes that we are processing the image in the sRGB space.
Szczepański M, Giemza F.
europepmc +6 more sources
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal [PDF]
IEEE Transactions on Image Processing, 2008 In order to denoise Poisson count data, we introduce a variance stabilizing transform (VST) applied on a filtered discrete Poisson process, yielding a near Gaussian process with asymptotic constant variance. This new transform, which can be deemed as an extension of the Anscombe transform to filtered data, is simple, fast, and efficient in (very) low ...
Zhang, Bo +2 more
openaire +7 more sources
Nonlocal Myriad Filters for Cauchy Noise Removal [PDF]
Journal of Mathematical Imaging and Vision, 2018 The contribution of this paper is two-fold. First, we introduce a generalized myriad filter, which is a method to compute the joint maximum likelihood estimator of the location and the scale parameter of the Cauchy distribution. Estimating only the location parameter is known as myriad filter.
Friederike Laus +2 more
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Removing Noise From Pyrosequenced Amplicons [PDF]
BMC Bioinformatics, 2011 In many environmental genomics applications a homologous region of DNA from a diverse sample is first amplified by PCR and then sequenced. The next generation sequencing technology, 454 pyrosequencing, has allowed much larger read numbers from PCR amplicons than ever before. This has revolutionised the study of microbial diversity as it is now possible
Quince, Christopher +3 more
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On Estimating the QSO Transmission Power Spectrum [PDF]
, 2000 We present new methods to minimize the systematic and random errors for measuring the transmission power spectrum from the Lyman-alpha forest. Sources of systematic errors explored include metal line contamination and continuum-fitting.
Burles, Scott +5 more
core +2 more sources
Noise and aliases in off-axis and phase-shifting holography [PDF]
, 2008 We have compared the respective efficiencies of off-axis and phase-shifting holography in terms of noise and aliases removal. The comparison is made by analyzing holograms of an USAF target backlit with laser illumination, recorded with a charge-coupled ...
Ansari +26 more
core +2 more sources
Video enhancement using adaptive spatio-temporal connective filter and piecewise mapping [PDF]
, 2008 This paper presents a novel video enhancement system based on an adaptive spatio-temporal connective (ASTC) noise filter and an adaptive piecewise mapping function (APMF).
A Polesel +31 more
core +3 more sources
SmoothGrad: removing noise by adding noise
, 2017 Explaining the output of a deep network remains a challenge. In the case of an image classifier, one type of explanation is to identify pixels that strongly influence the final decision. A starting point for this strategy is the gradient of the class score function with respect to the input image.
Smilkov, Daniel +4 more
openaire +2 more sources
Improved detection of small atom numbers through image processing [PDF]
, 2010 We demonstrate improved detection of small trapped atomic ensembles through advanced post-processing and optimal analysis of absorption images. A fringe removal algorithm reduces imaging noise to the fundamental photon-shot-noise level and proves ...
A. F. Tauschinsky +6 more
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Impulsive noise removal from color images with morphological filtering
, 2017 This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise ...
A Jakhar +12 more
core +1 more source