Gray scale image watermarking using fuzzy entropy and Lagrangian support vector regression in DCT domain.
Rajesh MehtaNavin RajpalVirendra P. VishwakarmaPublished in: Int. J. Appl. Pattern Recognit. (2015)
Keyphrases
- support vector regression
- gray scale
- image watermarking
- dct domain
- dct coefficients
- jpeg compression
- watermarking algorithm
- spatial domain
- watermark detection
- transform domain
- post processing
- spread spectrum
- additive noise
- binary images
- discrete cosine transform
- color images
- human visual system
- compressed domain
- support vector
- gray level
- low frequency
- discrete wavelet transform
- wavelet domain
- support vector machine svm
- geometric distortions
- watermarked image
- frequency domain
- copyright protection
- watermarking technique
- lossy compression
- digital watermarking
- feature vectors
- pattern recognition
- high frequency
- motion estimation
- error diffusion
- neural network
- high quality
- image data
- image quality
- non stationary
- face recognition
- image segmentation
- machine learning