Resolution enhancement (RE) schemes which are not based on wavelets has one of the major drawbacks of losing high frequency contents which results in blurring. The discrete wavelettransform-based (DWT) Resolution Enhancement scheme generates artifacts (due to a DWT shift-variant property). A wavelet-Domain approach based on dual-tree complex wavelet transform (DT-CWT) & nonlocal means (NLM) is ...

Resolution enhancement (RE) schemes (which are not based on wavelets) suffer from the drawback of losing high-frequency contents (which results in blurring). The discrete-wavelettransform-based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain approach based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) for RE of the satellite...

Moving vehicle’s driver’s Fatigueness is of prime concern for long and safe drive. Fatigueness can be estimated by observing the facial expression. The said problem may be thought of analysis of driver’s facial expression in wavelet domain using entropy of low frequency and high frequency sub band of the facial image. Further, the video movie of the driver may be decomposed into images as frame...

In this paper, a new approach of images coding by Shapiro algorithm (Embedded Zerotree Wavelet algorithm or EZW) is proposed. In this approach, the old Shapiro algorithm for image coding is modified. The new modified EZW (MEZW), distributes entropy differently and also optimizes the coding. This new version can produce good results that are a significantly improve the PSNR and compression ratio...

Face recognition is important in human identification. The biological recognition technique acts as a good method and broad applications in security areas. This work presents a method to improve the face recognition accuracy using a combination of Principal Component Analysis (PCA), and Wavelet Transform. Wavelet Transform is used to decompose the input image with different levels and rearrange...

In this paper, we present a new method based on wavelet-medianmoments and a novel idea of angle projection for detecting multioriented text in video. The proposed method uses wavelet decomposition first to obtain three high frequency sub-bands (LH, HL and HH) and then median central moments are computed on the average sub-bands of the three high frequency sub-bands to brighten the text pixels. ...

A reversible data hiding scheme based on integer-tointeger wavelet transform is proposed in this paper. The scheme uses a Sudoku-based method to embed data by modifying the wavelet coefficients. First, the algorithm performs the one-level integer wavelet transform of the host image and obtains four sub-bands, i.e., LL1, HL1, LH1, and HH1. Then, the HL1 sub-band is used as the base matrix, and t...

This paper extends the technique used for Document Text Extraction from Images using 2-D Haar Wavelet. The discrete wavelet transform is a very useful tool for signal analysis and image processing, especially in multi-resolution representation. It can decompose signal into different components in the frequency domain. Two-dimensional discrete wavelet transform (2-D DWT) decomposes an input imag...

Background: Many investigations based on nonlinear methods have been carried out for the research of seizure detection. However, some of these nonlinear measures cannot achieve satisfying performance without considering the basic rhythms of epileptic EEGs. New method: To overcome the defects, this paper proposed a framework on wavelet-based nonlinear features and extreme learning machine (ELM) ...

In this article a texture feature extrac tion scheme based on M band wavelet packet frames is investigated The features so extracted are used for segmentation of satellite images which usually have complex and overlapping boundaries The underly ing principle is based on the fact that di erent im age regions exhibit di erent textures Since most signi cant information of a texture often lies in t...