Block motion estimation using orthogonal projection

A block motion estimation algorithm which is able to deal with varying gray levels along motion trajectories is introduced. Variations of the illuminating sources and shadows or reflections caused by moving objects are taken into account by the underlying scene model. Orthogonal projection is used to estimate appropriate scaling factors for the luminance components of the image sequence frames. An entropy constrained quantizer for the scaling factor estimates is developed. The proposed algorithm and the standard block matching algorithm are compared with respect to rate-distortion performance and computational load