Monochrome image data compression employing BTC,VPIC,HVPIC and BTC-VPIC Hybrid Coding techniques.

Özkan, Reşat Murat


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A hyperspectral image compression method is proposed using an online dictionary learning approach. The online learning mechanism is aimed at utilizing least number of dictionary elements for each hyperspectral image under consideration. In order to meet this "sparsity constraint", basis pursuit algorithm is used. Hyperspectral imagery from AVIRIS datasets are used for testing purposes. Effects of non-zero dictionary elements on the compression performance are analyzed. Results indicate that, the proposed on...
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Spatial hearing enables translation of an auditory scene into a perceived 3-D image by interpreting the acoustic cues related to the sounding objects, their locations, and the physical characteristics of the space. Spatial audio production requires multichannel audio signals in order to convey this information and increase the realism of a real or virtual environment for applications such as the home entertainment, virtual reality, and remote collaboration. As demand to spatial audio continues to expand, ef...
Superpixel based image sequence representation and motion estimation
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In this study a superpixel based representation of image sequences is proposed. For superpixel extraction, a novel gradient ascent approach, in which spatial and spectral statistics are utilized to obtain an optimal Bayesian classifier for pixel to superpixel label assignment, is proposed. Utilization of the spectral and spatial statistics reduce the dependency on user selected global parameters, while increasing the robustness and adaptability. Proposed Local Adaptive Superpixels (LASP) approach exploits he...
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Vural, Mehmet Firat; Yardimci, Yasemin; Temizel, Alptekin (2009-04-11)
Multi modal images need to be registered in order to use the unique information contained in these different modality images. In this paper, modifications on Scale Invariant Feature Transformation (SIFT), which is a popular method used for image matching, to improve its success on multi modal images are described. SIFT algorithm is immune to linear and partially immune to non-linear illumination changes. However, due to non linear illumination changes on multi-modal images, SIFT is not as powerful as it is ...
Citation Formats
R. M. Özkan, “Monochrome image data compression employing BTC,VPIC,HVPIC and BTC-VPIC Hybrid Coding techniques.,” Middle East Technical University, 1993.