Analysis and Modeling of Statistical Properties of FMDFB Subband Coefficients
نویسندگان
چکیده
Fast Multiscale Directional Filter Bank (FMDFB) is an image representation scheme used in several image processing applications. The statistical nature of the FMDFB subbands is analyzed, and a mathematical model of FMDFB coefficients is proposed. Experimental results are justified by goodness-of-fit tests.
منابع مشابه
Survey on Wavelet Statistics
• Why the wavelet coefficients were assumed independent and non-Gaussian [1, 2, 3, 4, 5]? Because of the WT primary properties: (locality, multiresolution and compression) and interpretation of the WT as a whitening process which attempts to make the coefficients statistically independent. • Why the coefficients are assumed jointly Gaussian [6, 7, 8]? Because it helps to captures the linear cor...
متن کاملA Scene Adaptive and Signal Adaptive Quantization for Subband Image and Video Compression Using Wave - Circuits and Systems for Video Technology, IEEE Transactions on
Discrete wavelet transform (DWT) provides an advantageous framework of multiresolution space-frequency representation with promising applications in image processing. The challenge as well as the opportunity in wavelet-based compression is to exploit the characteristics of the subband coefficients with respect to both spectral and spatial localities. A common problem with many existing quantiza...
متن کاملA Family of Variable Step-Size Normalized Subband Adaptive Filter Algorithms Using Statistics of System Impulse Response
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of the system impulse response statistics and the optimal step-size vector is obtained by minimizing the mean-square deviation(MSD). In comparison with NSAF, the VSS-NSAF algorithm has faster convergence speed and lower MSD. To reduce the computa...
متن کاملComplex Directional Wavelet Transforms : Representation , Statistical Modeling
COMPLEX DIRECTIONAL WAVELET TRANSFORMS: REPRESENTATION, STATISTICAL MODELING AND APPLICATIONS AN PHUOC NHU VO, Ph.D. The University of Texas at Arlington, 2008 Supervising Professor: Soontorn Oraintara The thesis presents an new image decomposition for feature extraction, which is called the pyramidal dual-tree directional filter bank (PDTDFB). The image representation has an overcomplete ratio...
متن کاملA new locally optimum watermark detection using vector-based hidden Markov model in wavelet domain
Watermark detection is a way of verifying the existence of a watermark in a watermarking scheme used for copyright protection of digital data. Statistical modeling of wavelet subband coefficients has been extensively used in watermark detection. The effectiveness of a watermarking scheme depends directly on how the wavelet coefficients are modeled. It is known that the vector-based hidden Marko...
متن کامل