A New Wavelet Threshold Function Based on Gaussian Kernel Function for Image De-noising.
Yang SunShoulin YinHang LiPublished in: J. Inf. Hiding Multim. Signal Process. (2019)
Keyphrases
- kernel function
- denoising
- denoising algorithm
- multiscale
- gaussian noise
- kernel methods
- input image
- soft threshold
- feature space
- image representation
- edge detection
- support vector regression
- wavelet decomposition
- support vector
- support vector machine
- image features
- dot product
- image classification
- gaussian kernel
- polynomial kernels
- image segmentation
- reproducing kernel hilbert space
- wavelet support vector machine
- kernel matrix
- kernel parameters
- wavelet coefficients
- wavelet domain
- multiresolution
- similarity measure
- feature extraction
- wavelet packet
- multiple kernel learning
- neural network
- wavelet transform
- positive definite
- gaussian kernels
- high dimensional
- wavelet function
- computer vision
- learning algorithm