Motion blur free HDR image acquisition using multiple exposures

The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we estimate the irradiance value for each pixel. Our method estimates displacements, occlusion and saturated regions, and by using them construct the motion blur free HDRI with higher quality than other existing methods.

[1]  Erik Reinhard,et al.  Ghost Removal in High Dynamic Range Images , 2006, 2006 International Conference on Image Processing.

[2]  Steve Mann,et al.  ON BEING `UNDIGITAL' WITH DIGITAL CAMERAS: EXTENDING DYNAMIC RANGE BY COMBINING DIFFERENTLY EXPOSED PICTURES , 1995 .

[3]  Jitendra Malik,et al.  Recovering high dynamic range radiance maps from photographs , 1997, SIGGRAPH '08.

[4]  Eric Dubois,et al.  Bayesian Estimation of Motion Vector Fields , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Donald Geman,et al.  Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .

[6]  Jie Wei,et al.  An efficient two-pass MAP-MRF algorithm for motion estimation based on mean field theory , 1999, IEEE Trans. Circuits Syst. Video Technol..

[7]  Jun Zhang,et al.  The application of mean field theory to image motion estimation , 1995, IEEE Trans. Image Process..

[8]  Ioannis Pitas,et al.  Optical flow estimation and moving object segmentation based on median radial basis function network , 1998, IEEE Trans. Image Process..

[9]  Antonio Ortega,et al.  Stereo image compression with disparity compensation using the MRF model , 1996, Other Conferences.

[10]  Erik Reinhard,et al.  High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting , 2010 .

[11]  Abbas El Gamal,et al.  Synthesis of high dynamic range motion blur free image from multiple captures , 2003 .

[12]  Qiang Liu,et al.  An Application of MAP-MRF to Change Detection in Image Sequence Based on Mean Field Theory , 2005, EURASIP J. Adv. Signal Process..

[13]  Richard Szeliski,et al.  High dynamic range video , 2003, ACM Trans. Graph..

[14]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[15]  Shree K. Nayar,et al.  Radiometric self calibration , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).