Paper Info
Title
Cross Dissolve Without Cross Fade: Preserving Contrast, Color And Salience In Image Compositing
Abstract
Linear interpolation is the standard image blending method used in image compositing. By averaging in the dynamic range, it reduces contrast and visibly degrades the quality of composite imagery. We demonstrate how to correct linear interpolation to resolve this longstanding problem. To provide visually meaningful, high level control over the compositing process, we introduce three novel image blending operators that are designed to preserve key visual characteristics of their inputs. Our contrast preserving method applies a linear color mapping to recover the contrast lost due to linear interpolation. Our salience preserving method retains the most informative regions of the input images by balancing their relative opacity with their relative saliency. Our color preserving method extends homomorphic image processing by establishing an isomorphism between the image colors and the real numbers, allowing any mathematical operation defined on real numbers to be applied to colors without losing its algebraic properties or mapping colors out of gamut. These approaches to image blending have artistic uses in image editing and video production as well as technical applications such as image morphing and mipmapping.
Year
DOI
Venue
2006
10.1111/j.1467-8659.2006.00977.x
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
linear interpolation,dynamic range,image processing,computer graphic
Computer vision,Alpha compositing,Color mapping,Feature detection (computer vision),Computer science,Binary image,Image processing,Demosaicing,Artificial intelligence,Image restoration,Color image
Journal
Volume
Issue
ISSN
25
3
0167-7055
Citations 
PageRank 
References 
21
1.27
15
Authors
4
Name
Order
Citations
PageRank
Mark Grundland11369.13
Rahul Vohra2241.68
Gareth P. Williams3211.27
Neil A. Dodgson472354.20