2012
DOI: 10.1186/1687-6180-2012-3
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Abstract: A practical problem addressed recently in computational photography is that of producing a good picture of a poorly lit scene. The consensus approach for solving this problem involves capturing two images and merging them. In particular, using a flash produces one (typically high signal-to-noise ratio [SNR]) image and turning off the flash produces a second (typically low SNR) image. In this article, we present a novel approach for merging two such images. Our method is a generalization of the guided filter ap… Show more

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Cited by 24 publications
(12 citation statements)
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“…Usually, this iteration is performed only once. While [8] employs an iterative framework using GF. In this case, a blurred image can also be used as the input image.…”
Section: )) and Substituting The Corresponding Values Into H We Getmentioning
confidence: 99%
“…Usually, this iteration is performed only once. While [8] employs an iterative framework using GF. In this case, a blurred image can also be used as the input image.…”
Section: )) and Substituting The Corresponding Values Into H We Getmentioning
confidence: 99%
“…In filtering, i.e., guided filter [10] addressed a variety of applications in the field of computer vision/graphics such as haze removal, image fusion, and flash denoising/deblurring [10,14,15]. Motivated by effectiveness of the LP in the previous work, this letter theoretically analyzes performance of the LP first to find its properties with presence of noise and then applies it as texture-transferring for color image denoising.…”
Section: Proposed Color Ima Ge Denoisingmentioning
confidence: 98%
“…Since the guided filter performs well in terms of quality and efficiency, it has been applied to enhancement, denoising, and haze removal [6,14,23]. Its main idea is to filter input images by considering the content of the guidance image.…”
Section: Guided Filtermentioning
confidence: 99%