December 9, 2017
Comments Off on Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
Posted in: IEEE 2017, MATLAB
Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation Abstract: Sparse representation (SR) can transform spectral signatures of hyperspectral pixels into sparse coefficients with very few nonzero entries, which can efficiently be used for compression. In this paper, a spectral-spatial adaptive SR (SSASR) method is proposed for hyperspectral image (HSI) compression by taking advantage of […]
December 9, 2017
Comments Off on Turning Diffusion-Based Image Colorization Into Efficient Color Compression
Posted in: IEEE 2017, MATLAB
Turning Diffusion-Based Image Colorization Into Efficient Color Compression Abstract: The work of Levin et al. (2004) popularized stroke-based methods that add color to gray value images according to a small amount of user-specified color samples. Even though such reconstructions from sparse data suggest a possible use in compression, only few attempts were made so far […]