Additional Information
| Author(s) | Cosma, Ovidiu |
|---|
The Window Fourier Transform — a suitable alternative for image compression?
Ovidiu Cosma
Abstract
creative_2003_12_071_076_abstractFull PDF
creative_2003_12_071_076The 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.
Recently posted
-
Power Domination in Generalized Mycielskian of Cycles
-
Fixed point theorem for composition of multivalued and single-valued mappings in Banach spaces
-
Initial Value Problem for Hybrid Improved Conformable Fractional Differential Equations with Retardation and Anticipation
-
On a Subclass of Meromorphic Functions Defined by a Differential Operator on Hilbert Space
-
Countably Many Positive Symmetric Solutions For Sturm Liouville Type Boundary Conditions Of Second Order Iterative System
-
On the derived numbers of a real function
-
Some considerations about l'Hôpital-type rules for the monotonicity
-
On Minimum Second neighborhood Degree Energy of Graphs
-
Preserver Problems on Infinite Divisibility and Separability
-
A Note on Moritoh Transforms