Paper
2 May 2007 Wavelet library for constrained devices
Author Affiliations +
Abstract
The wavelet transform is a powerful tool for image and video processing, useful in a range of applications. This paper is concerned with the efficiency of a certain fast-wavelet-transform (FWT) implementation and several wavelet filters, more suitable for constrained devices. Such constraints are typically found on mobile (cell) phones or personal digital assistants (PDA). These constraints can be a combination of; limited memory, slow floating point operations (compared to integer operations, most often as a result of no hardware support) and limited local storage. Yet these devices are burdened with demanding tasks such as processing a live video or audio signal through on-board capturing sensors. In this paper we present a new wavelet software library, HeatWave, that can be used efficiently for image/video processing/analysis tasks on mobile phones and PDA's. We will demonstrate that HeatWave is suitable for realtime applications with fine control and range to suit transform demands. We shall present experimental results to substantiate these claims. Finally this library is intended to be of real use and applied, hence we considered several well known and common embedded operating system platform differences; such as a lack of common routines or functions, stack limitations, etc. This makes HeatWave suitable for a range of applications and research projects.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johan Hendrik Ehlers and Sabah A. Jassim "Wavelet library for constrained devices", Proc. SPIE 6579, Mobile Multimedia/Image Processing for Military and Security Applications 2007, 65790P (2 May 2007); https://doi.org/10.1117/12.720713
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Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Video

Image compression

Wavelet transforms

Personal digital assistants

Video processing

Databases

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