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Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/411

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Browsing Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu by Journal "22nd IEEE Signal Processing and Communications Applications Conference (SIU)"

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    Graph-Cut-based Compression Algorithm for Compressed-Sensed Image Acquisition
    (IEEE, 2014) Alaydin, Julide Gulen; Gülen, Seden Hazal; Trocan, Maria; Töreyin, Behçet Uğur; 19325
    The purpose of the paper is to find the best quantizer allocation for compressed-sensed acquired images, by using a graph-cut quantizer allocation method. The compressed sensed acquisition is realized in a block-based manner, using a random projection matrix, and on the obtained block measurements a graph-cut-based quantizer allocation method is applied, in order to further reduce the bitrate associated to the measurements. Finally, the quantized measurements are reconstructed using a Smooth Projected Landweber recovery method. The proposed compression method for compressed sensed acquisition shows better results when compared to JPEG2000.