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Multiresolution mosaic
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AI
DOI：10.1109/30.555800.png)
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Abstract
En 中文
Mosaic techniques have been used to combine two or more signals into a new one with an invisible seam, and with as little distortion of each signal as possible. Multiresolution representation is an effective method for analyzing the information content of signals, and it also fits a wide spectrum of visual signal processing and visual communication applications. Wavelet transform is one kind of multiresolution representations, and has found a wide variety of application in many aspects, including signal analysis, image coding, image processing, computer vision and etc. Due to its characteristic of multiresolution signal decomposition, wavelet transform is used in this paper to do the image mosaic by choosing the width of mosaic transition zone proportional to the frequency represented in the band. Both 1-D and 2-D signal mosaics will be described, and some factors which affect the mosaics will be discussed.
Keywords:
WAVELET REPRESENTATION
SEGMENTATION
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