Abstract | ||
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We describe a framework for improving the quality of personal photos by using a person's favorite photographs as examples. We observe that the majority of a person's photographs include the faces of a photographer's family and friends and often the errors in these photographs are the most disconcerting. We focus on correcting these types of images and use common faces across images to automatically perform both global and face-specific corrections. Our system achieves this by using face detection to align faces between “good” and “bad” photos such that properties of the good examples can be used to correct a bad photo. These “personal” photos provide strong guidance for a number of operations and, as a result, enable a number of high-quality image processing operations. We illustrate the power and generality of our approach by presenting a novel deblurring algorithm, and we show corrections that perform sharpening, superresolution, in-painting of over- and underexposured regions, and white-balancing. |
Year | DOI | Venue |
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2010 | 10.1145/1731047.1731050 | ACM Trans. Graph. |
Keywords | Field | DocType |
good example,face detection,favorite photograph,image-based priors,underexposured region,example image,face-specific correction,image restoration acm reference format:,additional key words and phrases: image enhancement,personal photo,computational photography,strong guidance,bad photo,high-quality image processing operation,image processing,personal photo enhancement,common face | Computer vision,Computational photography,Image processing,Artificial intelligence,Image restoration,Mathematics | Journal |
Volume | Issue | ISSN |
29 | 2 | 0730-0301 |
Citations | PageRank | References |
49 | 1.69 | 31 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Neel Joshi | 1 | 1155 | 63.95 |
Wojciech Matusik | 2 | 4771 | 254.42 |
Edward H. Adelson | 3 | 1768 | 320.52 |
David Kriegman | 4 | 7693 | 451.96 |