Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.862026
