We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the 1 -norm of the wavelet coefficients of the solution. ...
Abstract--In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global im...
We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Th...
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
We propose an intra prediction solution to block-based image compression. In order to adapt to local image features during intra prediction, we consider the distinct image singular...