This paper discusses the construction and implementation problem of trellis coded quantization (TCQ) based data hiding. We explore the robustness and distortion of data hiding by ...
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Recent Nonlocal Means filter (NLM) [1] is lack of mean conservation property, that is, image can have different mean before and after being processed. It is not suppose to happen ...
In this paper, we present a near ML-achieving sphere decoding algorithm that reduces the number of search operations in the sphere-constrained search. Specifically, by adding a pro...