Title :
Detail-preserving edge enhancing filters
Author :
Tang, Kaijun ; Neuvo, Yrjö
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
The authors propose a class of detail-preserving edge enhancing filters which consist of multiple substructures, each performing noise attenuation. The filters shown have a certain detail preserving ability while enhancing blurred edges. The root signal properties of the unidirectional edge enhancing filters are discussed. Bidirectional edge enhancing filters are also introduced to enhance the blurred edges with different directions. Computer simulations demonstrate the detail preserving and edge enhancing abilities of the filters
Keywords :
edge detection; filtering and prediction theory; noise; bidirectional filters; detail-preserving edge enhancing filters; multiple substructures; noise attenuation; root signal properties; unidirectional edge enhancing filters; Adaptive filters; Art; Attenuation; Degradation; Image restoration; Laboratories; Nonlinear filters; Signal processing; Statistics;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236960
