Sparse orthonormal transforms for image compression

OG Sezer, O Harmanci… - 2008 15th IEEE …, 2008 - ieeexplore.ieee.org
We propose a block-based transform optimization and associated image compression
technique that exploits regularity along directional image singularities. Unlike established …

Image and video compression using sparse orthonormal transforms

O Harmanci, OG Guleryuz, OG Sezer - US Patent 8,437,564, 2013 - Google Patents
A method and apparatus is disclosed herein for performing compression with sparse
orthonormal transforms. One method includes receiving a block of data; classifying the block …

Non-causal encoding of predictively coded samples

OG Guleryuz, A Said, S Yea - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
We study the INTRA-prediction operation employed in hybrid video coders where sample
values to be compressed are predicted using previously-decoded context values and the …

Geometrical image representation and compression

OG Guleryuz, AL Cunha - US Patent App. 12/877,845, 2012 - Google Patents
0001. The present patent application claims priority to and incorporates by reference the
corresponding patent applica tion Ser. No. 1 1/643,925, entitled,“Geometrical Image Rep …

Spatial sparsity-induced prediction (sip) for images and video: A simple way to reject structured interference

G Hua, OG Guleryuz - IEEE transactions on image processing, 2010 - ieeexplore.ieee.org
We propose a prediction technique that is geared toward forming successful estimates of a
signal based on a correlated anchor signal that is contaminated with complex interference …

Exploiting patterns of data magnitude for efficient image coding

A Said, D Mukherjee - 2008 15th IEEE International …, 2008 - ieeexplore.ieee.org
In order to increase the computational efficiency of compression methods we have to
consider that new hardware architectures increasingly rely more on wider data paths and …

[引用][C] Gen ağı çıkarım algoritmaları için en uygun ilişki kestirmecilerinin belirlenmesi

Z Kurt - 2013 - YTÜ Fen Bilimleri Enstitüsü