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Dark-frame subtraction

About: Dark-frame subtraction is a research topic. Over the lifetime, 1216 publications have been published within this topic receiving 20763 citations.


Papers
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Journal ArticleDOI
TL;DR: It is shown that noise estimation in the presence of vibrations is actually biased, and an application to the generalized Anscombe transform is discussed.
Abstract: This letter addresses the problem of noise estimation in raw images from digital sensors. Assuming that a series of images of a static scene are available, a possibility is to characterize the noise at a given pixel by considering the random fluctuations of the gray level across the images. However, mechanical vibrations, even tiny ones, affect the experimental setup, making this approach ineffective. The contribution of this letter is twofold. It is shown that noise estimation in the presence of vibrations is actually biased. Focusing on images of a pseudo-periodic grid, an algorithm to discard their effect is also given. An application to the generalized Anscombe transform is discussed.

25 citations

Patent
Daniel Bloom1
08 May 2002
TL;DR: In this paper, a dark frame image is subtracted from an original picture image to form a resulting image, and the resulting image is evaluated for negative and invalid pixel values using a pixel replacement algorithm with appropriate positive values.
Abstract: An apparatus and method of processing images in a digital camera and improving the quality of images produced by camera processing software. In low-light digital camera photography, a dark frame image is subtracted from an original picture image to form a resulting image. The resulting image formed from the dark frame subtraction is evaluated for negative and invalid pixel values. Each negative and invalid pixel value is replaced using a pixel replacement algorithm with appropriate positive values.

25 citations

Journal ArticleDOI
TL;DR: An algorithm combining an impulse noise detector with a detail-preserving variational method for removing salt and pepper noise is proposed, which is better than other impulse noise reduction methods in terms of noise removal and edge preservation.

25 citations

Journal ArticleDOI
TL;DR: A generalized signal-dependent noise model is proposed that is more appropriate to describe a natural image acquired by a digital camera than the conventional Additive White Gaussian Noise model widely used in image processing.

24 citations

Journal ArticleDOI
Y. Nishida, J. Koike, H. Ohtake, M. Abe, S. Yoshikawa 
TL;DR: In this article, the noise perception limit and the dependence of random noise and fixed pattern noise (FPN) on signal charge in a CCD imager were measured to obtain a correlation between measured noise and subjective noise.
Abstract: To achieve a high-performance image sensor for a broadcast TV camera, several studies of the noise characteristics of a CCD image sensor are described. The noise perception limit and the dependence of random noise and fixed pattern noise (FPN) on signal charge in a CCD imager were measured to obtain a correlation between measured noise and subjective noise. A method has been devised to measure FPN and random noise separately. Using this method, it has been confirmed that noise can be reduced to less than the perception limit using new noise-suppression techniques. >

24 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20238
202221
20213
20202
20192
20187