Digital photography with flash and no-flash image pairs

By G. Petschnigg, Richard Szeliski, Maneesh Agrawala, Michael F. Cohen, Hugues Hoppe, Kentaro Toyama. ACM Transactions on Graphics, 2004

1,213 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/114cd46a6ffd730081fe116ccc4a76a8fd4c6fc9

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In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Deep Joint Image Filtering (2016, background): “Compared with Georg [12] (Figure 12(b) and (d)) that deals with Flash/Non-flash images, our filter treats these smallscale details as noise and tends to over-smooth the contents.”
Image deblurring with blurred/noisy image pairs (2007, methodology): “Denoising can be performed by a joint/cross bilateral filter using flash/no-flash images [Petschnigg et al. 2004; Eisemann and Durand 2004], or by an adaptive spatio-temporal accumulation filter for video sequences [Bennett and McMillan 2005].”
An Experiment-Based Review of Low-Light Image Enhancement Methods (2020, background): “ous images with both flash and nonflash technologies and then realizing low-light image enhancement through image fusion [204].”
Adversarial Spatio-Temporal Learning for Video Deblurring (2018, methodology): “To employ additional information, multi-image based methods [21]–[27] have been proposed to address blur, such as flash/no-flash image pairs [23], blurred/noise image pairs [22] and gyroscope information [24].”
Defocus map estimation from a single image (2011, methodology): “To solve this problem, we apply joint bilateral filtering (JBF) [15] on the sparse depth map d̂ðxÞ to refine those inaccurate blur estimates.”
Joint bilateral upsampling (2007, background): “…we have seen the introduction of joint (or cross ) bilateral ﬁlters in which the range ﬁlter is applied to a second guidance image , ˜ I , for example, when trying to combine the high frequencies from one image and the low frequencies from another [Petschnigg et al. 2004; Eisemann and Durand 2004].”
Real-time O(1) bilateral filtering (2009, background): “and the resulting filter is called a cross (or joint) bilateral filter [10, 24], which enforces the texture of filtered image I D to be similar to image D.”
Pixel-level image fusion: A survey of the state of the art (2017, background): “As a solution of this problem, flash and non-flash image fusion is an interesting research topic in this field [144].”
Single image portrait relighting (2019, background): “These techniques are out of reach for casual mobile phone photographers, whose only available light is usually the flash built into standard consumer cameras, which tends to produce garishly-lit results [Petschnigg et al. 2004].”
Data-driven hallucination of different times of day from a single outdoor photo (2013, methodology): “Figure 11: We compare out model to the Joint Bilateral Filter [Eisemann and Durand 2004; Petschnigg et al. 2004] and the Guided Filter [He et al.”
LLNet: A deep autoencoder approach to natural low-light image enhancement (2015, methodology): “We approach the problem of low-light image enhancement from a representation learning perspective us-ing deep autoencoders (we refer to as Low-light Net, LL-Net) trained to learn underlying signal features in low-light images and adaptively brighten and denoise.”
Two-scale tone management for photographic look (2006, methodology): “Strong edges are hard to characterize in |H|, which is why we define textureness using a crossbilateral filter [Eisemann and Durand 2004; Petschnigg et al. 2004] where the intensity image defines the edge-preserving term to filter |H|.”
Rolling Guidance Filter (2014, neutral): “A variant is joint/cross filtering [21,16,13,11].”
Removing photography artifacts using gradient projection and flash-exposure sampling (2005, methodology): “To maintain color consistency across the channels, the ambient image was white-balanced using the approach described in [Petschnigg et al. 2004].”
Burst photography for high dynamic range and low-light imaging on mobile cameras (2016, background): “Flash/noflash photography [Petschnigg et al. 2004] addresses this issue but is not sufficiently robust.”