Wavelet library for constrained devices
2007
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.
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