Work

Color image processing using adaptive multichannel filters

Year: 1997

Type: article

Abstract: New adaptive filters for color image processing are introduced and analyzed. The proposed adaptive methodology constitutes a unifying and powerful framework for multichannel signal processing. Using the proposed methodology, color image filtering problems are treated from a global viewpoint that readily yields and unifies previous, seemingly unrelated, results. The new filters utilize Bayesian techniques and nonparametric methodologies to adapt to local data in the color image. The principles behind the new filters are explained in detail. Simulation studies indicate that the new filters are computationally attractive and have excellent performance.

Source: IEEE Transactions on Image Processing

DOI: 10.1109/83.597269

Authors: K.N. Plataniotis, D. Androutsos, S. Vinayagamoorthy, A.N. Venetsanopoulos

Institution: University of Toronto

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2128200474

FWCI: 4.74

Cites: 37

Cited by: 108

Related to: 10