Results 191 to 200 of about 28,366 (229)
Blind Deconvolution for Color Images Using Normalized Quaternion Kernels
Yang, Yuming +3 more
openalex +1 more source
GcDUO: an open-source software for GC × GC-MS data analysis. [PDF]
Brief BioinformLlambrich M +8 more
europepmc +1 more source
Boosting the responsivity of β-Ga<sub>2</sub>O<sub>3</sub> metal-semiconductor-metal solar-blind photodetectors through oxygen-related defect states. [PDF]
Sci RepYan S +9 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Understanding Blind Deconvolution Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to understand. The goal of this paper is to analyze and evaluate recent blind deconvolution algorithms both theoretically and ...
Anat, Levin +3 more
openaire +2 more sources
Compact multiframe blind deconvolution
Optics Letters, 2011We describe a multiframe blind deconvolution (MFBD) algorithm that uses spectral ratios (the ratio of the Fourier spectra of two data frames) to model the inherent temporal signatures encoded by the observed images. In addition, by focusing on the separation of the object spectrum and system transfer functions only at spatial frequencies where the ...
Douglas A, Hope, Stuart M, Jefferies
openaire +2 more sources
Total variation blind deconvolution
IEEE Transactions on Image Processing, 1998In this paper, we present a blind deconvolution algorithm based on the total variational (TV) minimization method proposed. The motivation for regularizing with the TV norm is that it is extremely effective for recovering edges of images as well as some blurring functions, e.g., motion blur and out-of-focus blur.
Chan, Tony F., Wong, Chiukwong
openaire +3 more sources
SIAM Journal on Applied Mathematics, 2001
Summary: Blind deconvolution seeks to deblur an image without knowing the cause of the blur. Iterative methods are commonly applied to that problem, but the iterative process is slow, uncertain, and often ill-behaved. This paper considers a significant but limited class of blurs that can be expressed as convolutions of two-dimensional symmetric Lévy ...
openaire +2 more sources
Summary: Blind deconvolution seeks to deblur an image without knowing the cause of the blur. Iterative methods are commonly applied to that problem, but the iterative process is slow, uncertain, and often ill-behaved. This paper considers a significant but limited class of blurs that can be expressed as convolutions of two-dimensional symmetric Lévy ...
openaire +2 more sources
Regularized blind deconvolution
Signal Recovery and Synthesis, 1998Blind deconvolution is an important problem that arises in many fields of research. It is of particular relevance to imaging through turbulence where the point spread function can only be modelled statistically, and direct measurement may be difficult. We describe this problem by a noisy convolution, where f(x, y) represents the true image, h(x, y) the
R.G. Lane +3 more
openaire +1 more source
IEEE Signal Processing Magazine, 1996
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical to many image processing applications. Although classical linear image restoration has been thoroughly studied, the more difficult problem of blind image restoration has numerous research possibilities.
D. Kundur, D. Hatzinakos
openaire +1 more source
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical to many image processing applications. Although classical linear image restoration has been thoroughly studied, the more difficult problem of blind image restoration has numerous research possibilities.
D. Kundur, D. Hatzinakos
openaire +1 more source
Blind deconvolution: multiplicative iterative algorithm
Optics Letters, 2007A new algorithm has been developed for performing blind deconvolution on degraded images. The algorithm naturally preserves the nonnegative constraint on the iterative solutions of blind deconvolution and can produce a restored image of high resolution.
Jianlin, Zhang +2 more
openaire +2 more sources