Translator Disclaimer
19 February 1997 Adapted waveform analysis: a tool for audio, image, and video enhancement
Author Affiliations +
Proceedings Volume 2942, Investigative Image Processing; (1997) https://doi.org/10.1117/12.267180
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States
Abstract
Adapted wave form analysis, refers to a collection of FFT like adapted transform algorithms. Given a signal these methods provide special matched collections of templates (orthonormal bases) enabling an efficient extraction of structural components. As a result various operations such as denoising, undesirable background suppression, sharpening and enhancement can be achieved efficiently. Perhaps the closest well known example of such coding method is provided by musical notation, where each segment of music is represented by a musical score made up of notes (templates) characterized by their duration, pitch, location and amplitude, our method corresponds to transcribing the music in as few notes as possible. Since noise and static are difficult to describe efficiently we obtain as a byproduct a denoised version of the sound. This transcription in a score can be developed into a mathematical musical orchestration as described below. The extension to images and video is straightforward we describe the image by collections of oscillatory patterns (paint brush strokes) of various sizes, locations, and amplitudes using a variety of orthogonal bases.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald Raphael Coifman and Lionel J. Woog "Adapted waveform analysis: a tool for audio, image, and video enhancement", Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); https://doi.org/10.1117/12.267180
PROCEEDINGS
16 PAGES


SHARE
Advertisement
Advertisement
Back to Top