In this paper we present and compare two linear techniques for image sequence enhancement speed up that transform image contrast and color considering mainly the spatial relationship between the image areas. The first technique called LLL for Linear Local LUT is a local technique based on a Look Up Table transformation. The second technique (called PC2D) is a global technique based on a color mapping between some key zones of the original and corrected image. The need for speed up technique is especially important when processing high definition images and live videos. To test and compare the performance of the two proposed methods we have chosen the ACE (Automatic Color Equalization) technique, an unsupervised color equalization algorithm. We applied the techniques to the fields of digital cinema and digital film restoration (images with high definition) and underwater aquarium videos (live videos).

Linear techniques for image sequence processing acceleration / M. Chambah, C. Gatta, A. Rizzi - In: Color imaging X : processing, hardcopy, and applications / R. Eschbach, G. Marcu. - 2005 : SPIE (The International Society for Optical Engineering), 2005. - ISBN 0819456403. - pp. 263-274 (( Intervento presentato al 17. convegno IS & T / SPIE's 17th Annual Symposium on Electronic Imaging, science and technology, 2005 tenutosi a San Jose, USA nel 2005.

Linear techniques for image sequence processing acceleration

C. Gatta
Secondo
;
A. Rizzi
Ultimo
2005

Abstract

In this paper we present and compare two linear techniques for image sequence enhancement speed up that transform image contrast and color considering mainly the spatial relationship between the image areas. The first technique called LLL for Linear Local LUT is a local technique based on a Look Up Table transformation. The second technique (called PC2D) is a global technique based on a color mapping between some key zones of the original and corrected image. The need for speed up technique is especially important when processing high definition images and live videos. To test and compare the performance of the two proposed methods we have chosen the ACE (Automatic Color Equalization) technique, an unsupervised color equalization algorithm. We applied the techniques to the fields of digital cinema and digital film restoration (images with high definition) and underwater aquarium videos (live videos).
Settore INF/01 - Informatica
2005
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/11119
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