Time−Constant Histogram Matching for Colour Compensation of Multi−View Video Sequences

Significant advances have recently been made in the coding of video data recorded with multiple cameras. However, luminance and chrominance variations between the camera views may deteriorate the performance of multi−view video codecs and renderers. In this paper, the usage of time−constant histogram matching is proposed to compensate these differences in a pre−filtering step. It is shown that the usage of histogram matching prior to multi−view video coding leads to significant gains for the coding efficiency of both the luminance and the chrominance components. Histogram matching can also be useful for image−based rendering to avoid incorrect illumination and colour reproduction resulting from miscalibrations in the recording setup. It can be shown that the algorithm is further improved by additionally using RGB colour conversion.