This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A selfadapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. R...

The area of digital image processing has witness a great deal of development during the past few decades. Image compression is one of most important aspects of the fields. The paper presents simple and efficient algorithm for compressing image data, the algorithm involved using the glory wavelet transform technique, which was the most usable method for varied image processing field due to its r...

This paper addresses the most relevant aspects of lossy image coding techniques, and presents an evaluation study on this subject, using several transforms and different methods in the transform domain. We developed different transform based image coders/decoders (codecs) using different transforms, such as the discrete cosine transform, the discrete wavelet transform and the S transform. Besid...

During their service life, marine pipelines continually accumulate damage as a result of the action of various environmental forces. Clearly, the development of robust techniques for early damage detection is very important to avoid the possible occurrence of a disastrous structural failure. Most of vibration-based damage detection methods require the modal properties that are obtained from mea...

This article presents a method of semi-blind watermarking based on the discrete wavelet transform, that uses the chrominance components of the image for watermark embedding. The watermark is resistant to usual image processing operations such as compression, noise addition, cropping, histogram adjustment and filtering. Keywords—watermarking;discrete wavelet transform

avelet Transform has been successfully applied in different fields, ranging from pure mathematics to applied science. Numerous studies, carried out on Wavelet Transform, have proven its advantages in image processing and data compression and have made it a basic encoding technique in recent data compression standards. Pure software implementations of the Discrete Wavelet Transform, however, app...

The tunable Q-factor wavelet transform (TQWT) is a fully-discrete wavelet transform for which the Q-factor, Q, of the underlying wavelet and the asymptotic redundancy (over-sampling rate), r, of the transform are easily and independently specified. In particular, the specified parameters Q and r can be real-valued. Therefore, by tuning Q, the oscillatory behavior of the wavelet can be chosen to...

Network security is very important when sending confidential data through the network. Cryptography is the science of hiding information, and a combination of cryptography solutions with cognitive science starts a new branch called cognitive cryptography that guarantee the confidentiality and integrity of the data. Brain signals as a biometric indicator can convert to a binary code which can be...

This paper presents a new approach to integrate and enhance registered multi-frame images with varied focuses simultaneously. The objective is to combine the information of multiple images from the same scene and then generate an image that is more suitable for human and machine perception or further image-processing tasks than its original sources. To enhance the integrated image, Smoothing Fi...

This paper explains a study conducted based on wavelet based transform techniques. We have used discrete wavelet transform and wavelet packet decomposition. The database is created by using Malayalam (one of the south Indian Languages) language spoken words. Daubechies type of mother wavelet was used for the experiment. Six hundred and forty samples are collected, for the experiment. The featur...