Training Methods for Image Noise Level Estimation on Wavelet Components
The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD). This model-based method assumes specific characteristics of the noise-contaminated image c...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2004-12-01
|
| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1110865704401218 |
| _version_ | 1818244554260742144 |
|---|---|
| author | A. De Stefano W. B. Collis P. R. White |
| author_facet | A. De Stefano W. B. Collis P. R. White |
| author_sort | A. De Stefano |
| collection | DOAJ |
| description | The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD). This model-based method assumes specific characteristics of the noise-contaminated image component. Three novel and alternative methods for estimating the noise standard deviation are proposed in this work and compared with the MAD method. Two of these methods rely on a preliminary training stage in order to extract parameters which are then used in the application stage. The sets used for training and testing, 13 and 5 images, respectively, are fully disjoint. The third method assumes specific statistical distributions for image and noise components. Results showed the prevalence of the training-based methods for the images and the range of noise levels considered. |
| first_indexed | 2024-12-12T14:18:52Z |
| format | Article |
| id | doaj.art-16b098aee11f4bd8b9787d35b3cc1598 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-12T14:18:52Z |
| publishDate | 2004-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-16b098aee11f4bd8b9787d35b3cc15982022-12-22T00:21:50ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-12-012004162400240710.1155/S1687617204401218Training Methods for Image Noise Level Estimation on Wavelet ComponentsA. De StefanoW. B. CollisP. R. WhiteThe estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD). This model-based method assumes specific characteristics of the noise-contaminated image component. Three novel and alternative methods for estimating the noise standard deviation are proposed in this work and compared with the MAD method. Two of these methods rely on a preliminary training stage in order to extract parameters which are then used in the application stage. The sets used for training and testing, 13 and 5 images, respectively, are fully disjoint. The third method assumes specific statistical distributions for image and noise components. Results showed the prevalence of the training-based methods for the images and the range of noise levels considered.http://dx.doi.org/10.1155/S1110865704401218noise estimationtraining methodswavelet transformimage processing. |
| spellingShingle | A. De Stefano W. B. Collis P. R. White Training Methods for Image Noise Level Estimation on Wavelet Components EURASIP Journal on Advances in Signal Processing noise estimation training methods wavelet transform image processing. |
| title | Training Methods for Image Noise Level Estimation on Wavelet Components |
| title_full | Training Methods for Image Noise Level Estimation on Wavelet Components |
| title_fullStr | Training Methods for Image Noise Level Estimation on Wavelet Components |
| title_full_unstemmed | Training Methods for Image Noise Level Estimation on Wavelet Components |
| title_short | Training Methods for Image Noise Level Estimation on Wavelet Components |
| title_sort | training methods for image noise level estimation on wavelet components |
| topic | noise estimation training methods wavelet transform image processing. |
| url | http://dx.doi.org/10.1155/S1110865704401218 |
| work_keys_str_mv | AT adestefano trainingmethodsforimagenoiselevelestimationonwaveletcomponents AT wbcollis trainingmethodsforimagenoiselevelestimationonwaveletcomponents AT prwhite trainingmethodsforimagenoiselevelestimationonwaveletcomponents |