We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pr...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni ...
We propose an alternative interpretation of Bayesian surprise in the spatial domain, to account for saliency arising from contrast in image context. Our saliency formulation is in...
Ioannis Gkioulekas, Georgios Evangelopoulos, Petro...
We study the problem of automatic “reduced reference” image quality assessment algorithms from the point of view of image information change. Algorithms that measure differenc...
A quality constrained compression algorithm based on Discrete Wavelet Transform (DWT) is proposed. The spatial-frequency decomposition property of DWT provides possibility for not...
This paper presents a visual color image quality metric assessment with full reference image. The metric is highly based on human visual system properties in order to get the best...