Multi-attribute Trilateral Filtering for Seismic Data

A trilateral filtering algorithm based on local structure and global texture attributes is presented.The proposed algorithm can highlight the interesting features of seismic image,enhance visualization efficiency and make the geological feature detection algorithms work well.Since data intensity,spatial distance and orientation weight functions are defined by local structure attributes,each edge feature and its type can be handled with filter algorithm.The proposed global texture attribute analysis is based on the robust chaos estimation and conditional parameters definition.The effect of filter algorithms can be adaptively adjusted by the chaos attribute.We solved the difficulty of seismic filter assessment by evaluating the structure residual of noise layer together with the horizon detection methods.