Effect of Temporal Filters on Face Images

Face detection from low-resolution videos is a challenging research area. This thesis explores the effect of a temporal filtering method by Dr. Bodur on face images. The temporal mean and median filters calculate the intensity of pixels using the intensities of surrounding neighbour pixels, and temporal neighbour pixels in consecutive images. The effect of the proposed technique on the image is measured by the mean square error (MSE) and the peak signal noise ratio (PSNR) values using the pixels of the original high resolution image as reference values to measure the error and noise figures of the pixels of filtered low resolution images. Results demonstrate a significant effect of the proposed filters on the consecutıve frames of face vıdeo record. In the tests, the medıan fılter ıs found more effective compared to mean fılter. Keywords: Temporal Mean Filter, Temporal Median Filter, Image Resolution, Effectiveness of Image Filter.