High dynamic range image rendering with a retinex-based adaptive filter
By Laurence Meylan, Sabine Süsstrunk. IEEE Transactions on Image Processing, 2006
397 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/a522974d75d8441363ffc6a8fb1e4e98fbcb7214
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In Computer Vision and Pattern Recognition
- Guang-Yu Deng
- Karol Myszkowski
- Rafal Mantiuk
- Hans-Peter Seidel
- Christian Theobalt
- Michael J. Black
- Gerard Pons-Moll
Citations in the corpus
- High Dynamic Range Imaging (2015, methodology): “The algorithm essentially attempts to separate reflectance from illumination by suppressing small gradients, which are attributed to illumination and in that respect is an effective method of tone-mapping images [103].”
- A Generalized Unsharp Masking Algorithm (2011, methodology): “An important issue associated with the unsharp masking and retinex type of algorithm is that the result is usually out of the range of the image [12], [17]–[19].”