The impact of wavelet coding of images for archiving and data manipulation

Research output: Contribution to conferenceOther

Abstract

Wavelet techniques are based upon the idea of coding signals or images in terms of basis functions which carry information about position and scale, rather than pure frequency content as in traditional Fourier (spectral) approaches. Wavelet coding has proved to be a highly efficient way of storing data and allows far more effective processing (such as denoising) than can be achieved with normal digital filters.
The introduction of the enhanced compressed wavelet (ECW) digital image format and the development of associated software tools which allow the easy storage and manipulation of extremely large images has a number of implications for the acquisition, storage and handling of all forms of imagery.
This paper explains the basic theory behind wavelet image coding, discusses the limitations inherent in the "compression" within the approach and examines some of the potential impacts of the ECW format on archiving and data manipulation/exploration. The power and flexibility of the approach is illustrated for the particular application of the close range and high-resolution recording of heritage structures.
Original languageEnglish
Publication statusPublished - 5 Apr 2002
EventRSPSoc Thompson Symposium, Loughborough University - Loughborough, United Kingdom
Duration: 5 Apr 20027 Apr 2002

Conference

ConferenceRSPSoc Thompson Symposium, Loughborough University
Country/TerritoryUnited Kingdom
CityLoughborough
Period5/04/027/04/02

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