A real-time adaptive non-parametric thresholding algorithm for change detection is proposed in this paper. Based on the estimation of the scatter of regions of change in a differe...
We develop a new method for building a representation of an image from a library of basis elements that is facilitated by a joint adaptive space and frequency JASF graph. The JA...
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
This paper sheds light on the recent least-square (LS)-based adaptive prediction schemes for lossless compression of natural images. Our analysis shows that the superiority of the ...