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...
In this paper, we provide an accurate and fully analytical model for the distortion due to lost frames in wireless video transmission. Our analysis combines the properties of the ...
Ruly Lai-U Choi, Michel T. Ivrlac, Eckehard G. Ste...
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...
JPEG 2000 is a lossy integer-to-integer transform-based compression method that first quantizes the separable 2-D wavelet transform coefficients, then entropy codes them. The imag...
Interactive audio-visual (AV) applications such as Free Viewpoint Video (FVV) aim to enable unrestricted spatio-temporal navigation within multiple camera environments. Current vi...
In medical applications, sensitivity in detecting medical problems and accuracy of detection are often in conflict. A single classifier usually cannot achieve both high sensitivit...
Vineta Lai Fun Lum, Wee Kheng Leow, Ying Chen, Tet...