Discrete wavelet transformations (DWT) followed by embedded zerotree encoding is a very efficient technique for image compression [2, 5, 4]. However, the algorithms proposed in l...
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...
We propose a novel compression method for multiview still images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers character...
Andriy Gelman, Pier Luigi Dragotti, Vladan Velisav...
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
This paper presents a simple and e ective post-processing method for compressed images. This work focuses on the cyclic time-variance introduced by block-based and subband transfo...