Segmentation-based adaptive spatio-temporal filtering for noise canceling and MPEG pre-processing

Author

Lee, Seong-Won ; Maik, Vivek ; Jang, Jihoon ; Shin, Jeongho ; Paik, Joonki

Author_Institution

Dept. of Image Eng., Chung-Ang Univ., Seoul, South Korea

fYear

2005

fDate

8-12 Jan. 2005

Firstpage

359

Lastpage

360

Abstract

Noise reduction especially in low light level images is an important feature in consumer cameras. Existing methods to reduce such noise often degrade image quality due to an improper choice of filters. We present a high quality, low-cost noise reduction filter for enhancing low light level images. The proposed algorithm is simple, effective and computationally fast; it is suitable for low cost camcorders, digital cameras, CCTVs, and surveillance video systems.

Keywords

adaptive filters; image denoising; image segmentation; motion estimation; spatial filters; video signal processing; CCTV; MPEG preprocessing; Poisson noise; adaptive spatio-temporal filtering; camcorders; consumer digital cameras; false color noise; image quality; low light level images; motion detection; motion estimation; noise canceling; noise reduction filter; preconditioning segmentation filter; spatial hybrid filter; surveillance video systems; temporal filter; Adaptive filters; Cameras; Costs; Degradation; Filtering; Image quality; Image segmentation; Noise cancellation; Noise reduction; Video equipment;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2005. ICCE. 2005 Digest of Technical Papers. International Conference on

Print_ISBN

0-7803-8838-0

Type

conf

DOI

10.1109/ICCE.2005.1429866

Filename

1429866