A parametric non-linear algorithm for contrast based auto-focus

Automatic estimation of the lens position that provides the sharpest image given a subject scene is known as auto-focus. In this paper a new passive contrast based auto-focus algorithm for digital still and video cameras is proposed. The solution originates in the parametrization of NIP (Non-linear Image Processing) models . The closing property of these models allows superior performance especially for bright areas if compared with state of the art methods.

[1]  Shree K. Nayar,et al.  Shape from Focus , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  W.E. Snyder,et al.  Color image processing pipeline , 2005, IEEE Signal Processing Magazine.

[3]  Muralidhara Subbarao,et al.  Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  G. R. Tobin,et al.  The study of logarithmic image processing model and its application to image enhancement , 1995, IEEE Trans. Image Process..

[5]  Bradley J. Nelson,et al.  Autofocusing algorithm selection in computer microscopy , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  C. Vertan,et al.  Non-linear parametric derivation of contour detectors for cellular images , 2009, 2009 International Symposium on Signals, Circuits and Systems.

[7]  M Fernandes,et al.  Improving focus measurements using logarithmic image processing , 2011, Journal of microscopy.

[8]  Jean-Charles Pinoli,et al.  A model for logarithmic image processing , 1988 .

[9]  Corneliu Florea,et al.  PIECEWISE LINEAR APPROXIMATION OF LOGARITHMIC IMAGE PROCESSING MODELS FOR DYNAMIC RANGE ENHANCEMENT , 2009 .

[10]  D. Vollath Automatic focusing by correlative methods , 1987 .

[11]  Alina Oprea,et al.  A Pseudo-logarithmic Image Processing Framework for Edge Detection , 2008, ACIVS.

[12]  Eric Krotkov,et al.  Focusing , 2004, International Journal of Computer Vision.