Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
This paper introduces the design of context-based models of contours in the wavelet domain, which are used to construct generalized lifting (GL) mappings for image compression. Th...
Julio C. Rolon, Antonio Ortega, Philippe Salembier
—In this paper, we investigate image compression using 2D Dual-tree Discrete Wavelet Transform (DDWT), which is an overcomplete transform with direction-selective basis functions...
In this paper, the Radon transform is used to design a new descriptor called Phi-signature invariant to usual geometric transformations. Experiments show the effectiveness of the m...
We present an algorithm for lossy compression of hyperspectral images for implementation on field programmable gate arrays (FPGA). To greatly reduce the bit rate required to code ...
Agnieszka C. Miguel, Amanda R. Askew, Alexander Ch...