We describe a method for automatically and adaptively boosting the visibility of local features in an image. A log intensity image is first decomposed into a set of subbands at mu...
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
A new compound image compression algorithm is proposed, based on Shape Primitive Extraction and Coding (SPEC). The SPEC first segments a compound image into text/graphics pixels an...
The super-resolution problem is considered using a meansquared error minimizing solution of a generalized undersampling model in this non-iterative frequency domain approach. Whil...
Images magnified by standard methods display a degradation of detail that is particularly noticeable in the blurry edges of text. Current super-resolution algorithms address the l...