LUM smoother with smooth control for noisy image sequences

被引：28

作者：

Lukáč R. ^{[1
]}

Marchevský S. ^{[1
]}

机构：

[1] Department of EMC, Technical University of Kosice, 041 20 Košice

来源：

EURASIP Journal on Advances in Signal Processing | / 2001卷 / 2期

关键词：

Adaptive control; Image sequence processing; Impulse noise; LUM smoother;

D O I：

10.1155/S1110865701000099

中图分类号：

学科分类号：

摘要：

This paper focuses on adaptive structure of LUM (lower-upper-middle) smoothers for noisy image sequences. For the balance between noise suppression and signal-detail preservation, the LUM smoothers are widely used in smoothing applications. The amount of smoothing done by LUM smoothers is controlled by tuning parameter. However, the smoothing level is fixed for whole image. Thus, the excessive or insufficient smoothing can be performed. This problem is solved by a new method based on the adaptive controlled level of smoothing. A new method has excellent performance of the noise reduction in the environments corrupted by the impulse noise. In addition, minimal signal-detail and motion blurring can be observed. The performance of proposed method is evaluated through objective criteria and compared with traditional temporal, spatial, and spatiotemporal LUM smoothers.

引用

页码：110 / 120

页数：10

共 19 条

[1]

Viero T., Neuvo Y., 3-D median structures for image sequence filtering and coding, Motion Analysis and Image Sequence Processing, pp. 411-445, (1993)

[2]

Lukac R., Stupak C., Marchevsky S., Macekova L., Order statistic filters in dynamic image sequences, Radioengineering, 9, 3, pp. 8-14, (2000)

[3]

Lukac R., Stupak C., Marchevsky S., Neural smoothers for noised dynamic image sequences, J. of Electr. Engrg., 51, 11-12, pp. 312-317, (2000)

[4]

Ozkan M.K., Sezan M.I., Tekalp A.M., Adaptive motion - Compensated filtering of noisy image sequences, IEEE Trans. on Circuits and Systems for Video Technology, 3, 4, pp. 277-290, (1993)

[5]

Hardie R.C., Boncelet C.G., LUM filters: A class of rank-order-based filters for smoothing and sharpening, IEEE Trans. on Signal Processing, 41, 3, pp. 1061-1076, (1993)

[6]

Hardie R.C., Boncelet C.G., Gradient-based edge detection using nonlinear edge enhancing prefilters, IEEE Trans. on Image Processing, 4, 11, pp. 1572-1578, (1995)

[7]

Marchevsky S., Chmurny J., Two-dimensional digital filter with small generation kernels, J. of Electr. Engrg., 35, pp. 872-875, (1984)

[8]

Arce G.R., Multistage order statistic filters for image sequence processing, IEEE Trans. on Signal Processing, 39, 5, pp. 1146-1163, (1991)

[9]

Lukac R., Stupak C., Marchevsky S., Filtering the grayscale image sequences by neural network, 15th Biennial International EuroConference Biosignal 2000 in Brno, (2000)

[10]

Viero T., Ostaimo K., Neuvo Y., Three-dimensional median-related filters for color image sequence filtering, IEEE Trans. on Circuits and Systems for Video Technology, 4, 2, pp. 129-142, (1994)

← 1 2 →