Application of Embedded Wavelet Image Coding Algorithm in Track and Field Route Optimization

Abstract:

Embedded wavelet image coding algorithm has excellent localization property in time domain and frequency domain. To some extent, it can fix position for graphic information which has different direction features to any precision level. At the same time, with the disappear of blocking effect and noise, it is able to perfectly match with the visual features of human beings and it has quickly become one of the hot research direction in the field of image processing. This paper firstly defines the wavelet transform and elaborates the principle and connotation of embedded wavelet algorithm. And then, this paper reconstructs the image wavelet. On the basis of this, wavelet algorithm is transformed in frequency domain. At the same time, this paper constructs the image fusion model which is based on embedded wavelet image coding algorithm and further applies the edge detection and image fusion of the model to the track route. Analog simulation is also made in the application of the algorithm and the effect of real virtual composite is obvious. To some extent, it provides new exploration ideas and practice path for the research in this field.

• Periodical: Advanced Materials Research (Volumes 791-793)
• Pages: 1166-1171
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.791-793.1166
• Online since: September 2013
• Authors: Tao Li
• Keywords: Analog Simulation, Embedded Wavelet, Image Coding Algorithm, Image Fusion Model

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