A MULTISCALE VISION MODEL ADAPTED TO THE ASTRONOMICAL IMAGES

被引:51
作者
BIJAOUI, A
RUE, F
机构
[1] Observatoire de la Côte d'Azur, Dpt CERGA URA CNRS 1360, 06304 Nice Cedex 4
关键词
MULTISCALE VISION; WAVELET TRANSFORM; IMAGE PROCESSING; IMAGE RESTORATION;
D O I
10.1016/0165-1684(95)00093-4
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The analysis of the sky shows many kinds of hierarchically distributed objects. We have introduced a multiscale vision model based on the wavelet transform. The discrete transform is performed by the a trous algorithm which furnishes an isotropic vision, with a unique wavelet function. The vision model is based on the notion of the significant structures. We identify the pixels of the wavelet transform space (WTS) we can attribute to the objects. At each scale a region labelling is done. An interscale connectivity graph is then established. Connected trees are identified from the preceding graph. An object is generally associated to a subtree built from this graph. The identification of WTS pixels related to a given object leads to reconstructing an image by partial restoration algorithms. The object properties are extracted from the restored image. The main difficulty lies in the object reconstruction knowing the wavelet coefficients in the volume where the object is defined. It is a classical inverse problem. We choose to solve it using iterative algorithms. These algorithms give correct restored images, as we show on different examples, without or with adding a Gaussian noise. The influence of close objects can be partially removed.
引用
收藏
页码:345 / 362
页数:18
相关论文
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