Recent improvements on perceptual processing using DAF wavelets

Author

Shi, Z. ; Zhang, D.S. ; Wang, H.X. ; Kouri, D.J. ; Hoffman, D.K.

Author_Institution

Houston Univ., TX, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

496

Abstract

New wavelet techniques are designed to improve the perceptual quality of images/signal, enhance and detect the detail features in the region of interest (ROI). Distributed approximating functionals (DAFs) are used to construct a new class of smooth wavelets, which enable better signal processing performance. This paper is focused on improvements in DAF wavelet signal processing. The combined perceptual techniques (such as regularization, visual group normalization and contrast nonlinear enhancement) produce natural high-quality images based on the human vision system. The underlying technologies significantly facilitate the creation of generic signal processing and computer-aided diagnostic (CAD) systems

Keywords

feature extraction; functional equations; image enhancement; image recognition; image restoration; mammography; medical image processing; neural nets; time-varying filters; wavelet transforms; CAD; DAF wavelets; computer-aided diagnostics; contrast nonlinear enhancement; detail features; distributed approximating functionals; high-quality images; neural networks; perceptual processing; perceptual quality; perceptual techniques; region of interest; regularization; signal processing performance; smooth wavelets; visual group normalization; Biomedical signal processing; Chemistry; Filtering; Filters; Lagrangian functions; Multidimensional signal processing; Neural networks; PSNR; Physics; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.862026

Filename

862026