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PAMI
2008
181views more  PAMI 2008»
13 years 4 months ago
Automatic Estimation and Removal of Noise from a Single Image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
DAGM
2009
Springer
13 years 11 months ago
Residual Images Remove Illumination Artifacts!
Real-world image sequences (e.g., recorded for vision-based driver assistance) are typically degraded by various types of noise, changes in lighting, out-of-focus lenses, differin...
Tobi Vaudrey, Reinhard Klette
SCALESPACE
2007
Springer
13 years 11 months ago
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...
Charles Kervrann, Jérôme Boulanger, P...
SIGGRAPH
1996
ACM
13 years 9 months ago
Combining Frequency and Spatial Domain Information for Fast Interactive Image Noise Removal
Scratches on old films must be removed since these are more noticeable on higher definition and digital televisions. Wires that suspend actors or cars must be carefully erased dur...
Anil N. Hirani, Takashi Totsuka
ICIP
2006
IEEE
14 years 6 months ago
An Efficient Method for the Removal of Impulse Noise
A computationally efficient algorithm is proposed to remove noise impulses from speech and audio signals while retaining its features and tonal quality. The proposed method is bas...
Wenbin Luo, Dung Dang