Fundamentals of digital image processing
Fundamentals of digital image processing
Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multirate systems and filter banks
Multirate systems and filter banks
Fast convolution with packed lookup tables
Graphics gems IV
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using thumbnails to search the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic thumbnail cropping and its effectiveness
Proceedings of the 16th annual ACM symposium on User interface software and technology
The Design of High-Level Features for Photo Quality Assessment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Least-squares image resizing using finite differences
IEEE Transactions on Image Processing
Quality-preserving image downsizing
ACM SIGGRAPH 2010 Posters
Cosaliency: where people look when comparing images
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
iPhotobook: creating photo books on mobile devices
Proceedings of the international conference on Multimedia
A no-reference metric for evaluating the quality of motion deblurring
ACM Transactions on Graphics (TOG)
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The information about the blur and noise of an original image is lost when a standard image thumbnail is generated by filtering and subsampling. Image browsing becomes difficult since the standard thumbnails do not distinguish between high-quality and low-quality originals. In this paper, an efficient algorithm with a blur-generating component and a noise-generating component preserves the local blur and the noise of the originals. The local blur is rapidly estimated using a scale-space expansion of the standard thumbnail and subsequently used to apply a space-varying blur to the thumbnail. The noise is estimated and rendered by using multirate signal transformations that allow most of the processing to occur at the lower spatial sampling rate of the thumbnail. The new thumbnails provide a quick, natural way for users to identify images of good quality. A subjective evaluation shows the new thumbnails are more representative of their originals for blurry images. The noise generating component improves the results for noisy images, but degrades the results for textured images. The blur generating component of the new thumbnails may always be used to advantage. The decision to use the noise generating component of the new thumbnails should be based on testing with the particular image mix expected for the application.