Statistical texture retrieval in noise using complex wavelets
作者：
Highlights：
• The use of complex wavelets for statistical texture retrieval in a noisy environment is investigated.
• Parameter estimation in noise for models of the magnitude and phase (in the form of relative phase) of complex coefficients is discussed.
• The features are extracted by using parameter estimation in noise for the magnitude and phase of the complex coefficients.
• How to incorporate both magnitude and phase information for texture retrieval is presented.
• Using both magnitude and phase of complex wavelets yields promising results for complex wavelet-based texture retrieval in noise.
摘要
Highlights•The use of complex wavelets for statistical texture retrieval in a noisy environment is investigated.•Parameter estimation in noise for models of the magnitude and phase (in the form of relative phase) of complex coefficients is discussed.•The features are extracted by using parameter estimation in noise for the magnitude and phase of the complex coefficients.•How to incorporate both magnitude and phase information for texture retrieval is presented.•Using both magnitude and phase of complex wavelets yields promising results for complex wavelet-based texture retrieval in noise.
论文关键词：Texture retrieval in noise,Complex wavelets,Relative phase,Parameter estimation in noise
论文评审过程：Received 24 March 2013, Revised 19 June 2013, Accepted 24 June 2013, Available online 18 July 2013.
论文官网地址：https://doi.org/10.1016/j.image.2013.06.005
