In video compression image noise degrades the overall compression performance. Reducing the noise content can produce a more compressible sequence, ideally with minimal effect on the visual quality. This paper presents a new approach to noise reduction using sliding window spatio-temporal attribute morphology filters with both area and power attributes. A combined spatial and spatio-temporal algorithm is proposed that produces a better overall peak signal to noise ratio (PSNR) performance than either spatial or spatio-temporal filtering individually. The compression benefits of such an approach are also demonstrated.
|Publication status||Published - 2003|
|Event||International Conference on Image Processing (ICIP 2003) - Barcelona, Spain|
Duration: 14 Sep 2003 → 17 Sep 2003
|Conference||International Conference on Image Processing (ICIP 2003)|
|Period||14/09/03 → 17/09/03|
Young, N., & Evans, A. N. (2003). Spatio-temporal attribute morphology filters for noise reduction in image sequences. I:333-I:336. Paper presented at International Conference on Image Processing (ICIP 2003), Barcelona, Spain. https://doi.org/10.1109/ICIP.2003.1246966