Flat zone analysis and a sharpening operation for gradual transition detection on video images

Authors:
Silvio J. F. Guimarães;Neucimar J. Leite;Michel Couprie;Arnaldo de A. Araújo
Affiliations:
Lab. Alg. et Arch. des Systèmes Inform., École Supérieure d'Ingénieurs en Électr. et Électrotech., Noisy Le Grand Cedex, Paris, France and Inst. of Comp., Pont. Cath. ...;Institute of Computing, State University of Campinas, Campinas, SP, Brazil;Laboratoire Algorithmique et Architecture des Systèmes Informatiques, École Supérieure d'Ingénieurs en Électronique et Électrotechnique, Noisy Le Grand Cedex, Paris, ...;Computer Science Department, Universidade Federal de Minas Gerais, Pampulha, Belo Horizonte, MG, Brazil
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

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Abstract

The boundary identification represents an interesting and difficult problem in image processing, mainly if two flat zones are separated by a gradual transition. The most common edge detection operators work properly for sharp edges, but can fail considerably for gradual transitions. In this work, we propose a method to eliminate gradual transitions, which preserves the number of the image flat zones. As an application example, we show that our method can be used to identify very common gradual video transitions such as fades and dissolves.