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ABSTRACT
We introduce a new approach to tone management for photographs. Whereas traditional tone-mapping operators target a neutral and faithful rendition of the input image, we explore pictorial looks by controlling visual qualities such as the tonal balance and the amount of detail. Our method is based on a two-scale non-linear decomposition of an image. We modify the different layers based on their histograms and introduce a technique that controls the spatial variation of detail. We introduce a Poisson correction that prevents potential gradient reversal and preserves detail. In addition to directly controlling the parameters, the user can transfer the look of a model photograph to the picture being edited.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.4
IMAGE PROCESSING AND COMPUTER VISION
I.4.3
Enhancement
Subjects:
Filtering
Additional Classification:
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.10
Vision and Scene Understanding
Subjects:
Intensity, color, photometry, and thresholding
General Terms:
Algorithms,
Design,
Theory
Keywords:
bilateral filter,
computational photography,
high dynamic range,
image processing,
pictorial look,
tone management
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