In order to removes the ring effect in traditional image denoising algorithms using wavelet thresholding, the paper analyzes the wavelet coefficients of noise images, uses second-order central moment of HH1 sub-bands as the noise variance and computes threshold values; and then performs wavelet thresholding denoising on each image block. At last, the paper weights these denoised wavelet coeffic...

With the tremendous development of computer graphic rendering technology, photorealistic computer graphic images are difficult to differentiate from photo graphic images. In this article, a method is proposed based on discrete wavelet transform based binary statistical image features to distinguish computer graphic from photo graphic images using the support vector machine classifier. Textural ...

The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Based on the predefined instruction/operator sets, a HWNN is created and evolved using tree-structure based Extended Compact Genetic Programming (ECGP), and the parameters are optimized by Differential Evolution (DE) algo...

Bicubic interpolation is more sophisticated than the other two techniques and produces smoother edges. Wavelets are also playing a significant role in many image processing applications. The 2-D wavelet decomposition of an image is performed by applying the 1-D discrete wavelet transform (DWT) along the rows of the image first, and then the results are decomposed along the columns. This operati...

A kind of image digital watermarking scheme is proposed in this paper. The scheme is based on Fast Independent Component Analysis (Fast ICA) and Discrete Wavelet Transform (DWT). In this scheme, a binary image is embedded into a wavelet approach sub-image. When extracting the watermarking, Fast ICA method is used. The experiment results show that the scheme is robust to many attacks. Keyword— B...

I<span>Image-fusion provide users with detailed information about the urban and rural environment, which is useful for applications such as planning management when higher spatial resolution images are not available. There different image fusion methods. This paper implements, evaluates, compares six satellite image-fusion methods, namely wavelet 2D-M transform, gram schmidt, high-frequen...

ABSTRACT In this paper, we present a fully scalable 3-D overcomplete wavelet video coder that employs a new and highly efficient 3D lifting structure for adaptive motion compensated temporal filtering (MCTF). Unlike the conventional interframe wavelet video techniques that apply MCTF on the spatial domain video data and then encode the resulting temporally filtered frames using critical sampled...

The problem of content-based retrieval of remote sensing images presents a major challenge not only because of the surprisingly increasing volume of images acquired from a wide range of sensors but also because of the complexity of images themselves. In this paper, a prototype software system for content-based retrieval of remote sensing images, namely CBRRSI, is introduced. The main contributi...

Visibility of optical coherence tomography (OCT) images can be severely degraded by speckle noise. A computationally efficient despeckling approach that strongly reduces the speckle noise is reported. It is based on discrete wavelet transform (DWT), but eliminates the conventional process of threshold estimation. By decomposing an image into different levels, a set of sub-band images are genera...