Adaptive wavelet processing techniques for weak feature emphasis and extraction

Thomas John Brown

doi:10.1117/12.463746

19 March 2003 Adaptive wavelet processing techniques for weak feature emphasis and extraction

Thomas John Brown

Proceedings Volume 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision; (2003) https://doi.org/10.1117/12.463746
Event: OPTO Ireland, 2002, Galway, Ireland

Abstract

This paper introduces image enhancement techniques specifically intended to support the visualization of weak image features. Two distinct strategies are presented, which are referred to as weak feature emphasis and weak feature extraction, respectively. The first emphasizes weakly visible features while simultaneously de-emphasizing stronger features. The second goes further and seeks to extract weakly visible features completely. Both techniques seek to avoid the amplification of noise. The techniques are based on a wavelet foveation strategy which amplifies low magnitude wavelet coefficients and either attenuates or completely removes higher magnitude wavelet coefficients. Fundamental changes in the visible appearance of images can be achieved with these methods.

Citation Download Citation

Thomas John Brown "Adaptive wavelet processing techniques for weak feature emphasis and extraction", Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); https://doi.org/10.1117/12.463746

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