The Window Fourier Transform — a suitable alternative for image compression?


Ovidiu Cosma


Abstract

creative_2003_12_071_076_abstract

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creative_2003_12_071_076

The Discrete Cosine Transform [6], [8] on which the best-known image compression schemes are based [7], [1], has the major disadvantage that it does not localize the frequency components in time. The Window Fourier Transform (WFT) [3], [4], [5] solves this problem, but has limitations related to the resolutions in time and frequency. This article contains a visual evaluation of the WFT characteristics.

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Author(s)

Cosma, Ovidiu