High dynamic range imaging: spatially varying pixel exposures
By Shree K. Nayar, Tomoo Mitsunaga. Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000
634 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/810aea93f6c1af8a780461b8653c62fe4aa6a082
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Chunhua Shen
- Ming-Hsuan Yang
- Dacheng Tao
- Xiaogang Wang
- Andrew Zisserman
- Jitendra Malik
- Bernt Schiele
In Electrical and Electronic Engineering
- Sabine Süsstrunk
- Laurence Meylan
- Daisuke Iso
- Fumihito Yasuma
- Shree K. Nayar
- Tomoo Mitsunaga
- Ian David Reid
- Anton van den Hengel
Citations in the corpus
- High dynamic range image rendering with a retinex-based adaptive filter (2006, methodology): “Recently developed methods allow any capturing devices to virtually produce HDR images using a multiple exposure technique [42], [43], or by simultaneously sampling the spatial and exposure dimensions of image radiances [ 44 ].”
- Gradient domain high dynamic range compression (2002, background): “Furthermore, based on recent developments in digital imaging technology [Aggarwal and Ahuja 2001b; Nayar and Mitsunaga 2000], it is reasonable to assume that tomorrow’s digital still and video cameras will capture HDR images and video directly.”
- HDR image reconstruction from a single exposure using deep CNNs (2017, methodology): “n be challenging as robust exposure alignment is needed. This can be solved by techniques such as multi-sensor imaging [Kronander et al. 2014; Tocci et al. 2011] or by varying the per-pixel exposure [Nayar and Mitsunaga 2000] or gain [Hajisharif et al. 2015]. Furthermore, saturated regions can be en”
- Removing photography artifacts using gradient projection and flash-exposure sampling (2005, neutral): “For example, HDR is achieved by varying exposure [Mann and Picard 1995; Debevec and Malik 1997; Nayar and Mitsunaga 2000].”
- Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum (2010, methodology): “For high dynamic range (HDR) imaging, a mosaic of neutral density filters with different transmittances have been used [2], [3].”
- Attention-Guided Network for Ghost-Free High Dynamic Range Imaging (2019, methodology): “Sen [28] Hu [10] Oh [24] TMO [4] HDRCNN”