In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
We introduce a new wavelet image coder which is the forward-adaptive counterpart of the state-of-the-art backward-adaptive Estimation-Quantization coder. The variance field associ...
Anthony F. Docimo, Kannan Ramchandran, Mehmet Kiva...
Abstract--The goal of this work is twofold. First, we demonstrate that an advantage can be gained by using local cosine bases over wavelets to encode images that contain periodic t...
The Minimum-Entropy Clustering (MEC) algorithm proposed in this paper provides an optimal method for addressing the non-stationarity of a source with respect to entropy coding. Th...
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...