Alfio Castorina

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This paper presents a robust algorithm for video sequences stabilization. Motion estimation is achieved using block motion vectors. In this way the same motion estimator of mpeg encoder can be used. The simple use of block motion vectors can give unreliable global motion vectors and so elaborations are done to make the algorithm robust.
We describe an automatic image enhancement technique based on features extraction methods. The approach takes into account images in Bayer data format, captured using a CCD/CMOS sensor and/or 24-bit color images; after identifying the visually significant features, the algorithm adjusts the exposure level using a “camera response”-like function; then a(More)
A method for contrast enhancement is proposed. The algorithm is based on a local and image-dependent exponential correction. The technique aims to correct images that simultaneously present overexposed and underexposed regions. To prevent halo artifacts, the bilateral filter is used as the mask of the exponential correction. Depending on the characteristics(More)
The proposed paper concerns the processing of images in digital format and, more specifically, particular techniques that can be advantageously used in digital still cameras for improving the quality of images acquired with a non-optimal exposure. The proposed approach analyses the CCD/CMOS sensor Bayer data or the corresponding color generated image and,(More)
We present a collection of methods and algorithms able to deal with high dynamic ranges of real pictures acquired by digital engines e.g., charge-coupled device (CCD/CMOS) cameras. An accurate image acquisition can be challenging under difficult light conditions. A few techniques that overcome dynamic range limitations problems are reported. The presented(More)
An innovative solution for automatic color rendition of natural digital images is presented. It is based on an adaptive color correction, driven by a natural scene classifier designed over a wide database of natural digital images used as reference. The perceived quality of the processed images is globally closer to the expected color rendition for a great(More)
This paper describes a method for video sequences denoising that exploits extra-information provided by the image sensor. Fixed Pattern Noise and Temporal Noise are removed by analyzing a series of lines placed at the top of the imager. Index Terms — Noise Reduction, Fixed Pattern Noise, Temporal Random Noise.
1 All the authors are with the STMicroelectronics in the Advanced System Technology Division (AST Lab – Catania), 95121 Catania , ITALY E-mail: {Sebastiano.Battiato,Alfio.Castorina,Mirko.Guarnera, Paolo.Vivirito} Abstract — The paper describes a suitable algorithms pipeline able to enhance the picture quality in terms of both measured and perceived(More)
B Average G’ R B Abstract The proposed method describes an automatic exposure correction algorithm improved by a skin recognition technique. The approach analyzes the Bayer data, captured using a ccd/cmos sensor, or the corresponding color generated picture; after identifying the skin key features, the algorithm adjusts the exposure level using a ‘camera(More)