VIDEO ENHANCEMENT USING RECURSIVE BANDLETS

摘要

A wavelet transform is applied to successive images of a video sequence to obtain wavelet coefficients for each image, and directions of regularity are estimated in association with the wavelet coefficients. Recursive weights are also determined to be associated with the wavelet coefficients. An average multiscale bandlet coefficient associated with a wavelet coefficient for a current image is computed from this wavelet coefficient, the recursive weight associated therewith and a corresponding average multiscale bandlet coefficient computed for a previous image and associated with a wavelet coefficient offset according to the direction of regularity associated with the wavelet coefficient. The average multiscale bandlet coefficients can then be processed to produce an enhanced bandlet image to which an inverse wavelet transform is applied. The determination of a recursive weight associated with a wavelet coefficient for the current image comprises checking a condition between this wavelet coefficient and the corresponding average multiscale bandlet coefficient computed for the previous image, and updating a value of the recursive weight depending on the condition.