Video compression is a process of eliminating redundancy and irrelevant information for efficient storage and transmission. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the popular transforms used for efficient compression. DCT has high energy compaction and requires less computational resources. In this paper, a novel method is proposed combining DCT, DWT and Arithm...

This paper considers the design of wavelet tight frames based on iterated oversampled lter banks. The greater design freedom available makes possible the construction of wavelets with a high degree of smoothness, in comparison with orthonormal wavelet bases. Grr obner bases are used to obtain the solutions to the nonlinear design equations. Following the dual-tree DWT of Kingsbury, one goal is ...

In this paper, we present a robust and secure algorithm for watermarking, the watermark is first transformed into the frequency domain using the discrete wavelet transform (DWT). Then the entire DWT coefficient except the LL (Band) discarded, these coefficients are permuted and encrypted by specific mixing. The encrypted coefficients are inserted into the most significant spectral components of...

Previous research involving turfgrass response to soil moisture used methodology that may compromise root morphology or fail control outside environmental factors. Water-table depth gradient tanks were employed in the greenhouse identify habitat specialization of hybrid bermudagrass [ Cynodon dactylon (L.) Pers. × C. transvaalensis Burtt-Davy] and manilagrass Zoysia matrella Merr.] maintained a...

The wavelet transform has emerged as a cutting edge technology, in the field of image compression. Wavelet-based coding provides substantial improvements in picture quality at higher compression ratios. In this paper an approach is proposed for the compression of an image using 5/3(lossless) Integer discrete wavelet transform (DWT) for Image Compression. The proposed architecture, based on new ...

The large amount of data generated by neuroprosthetic devices requires a high communication bandwidth for extra-cranial transmission, critically limiting the number and utility of wireless implantable applications. Discrete wavelet transform (DWT) can provide exceptionally efficient data compression for neural records. Two energy efficient hardware implementations for one dimensional, multi-lev...

A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here.  The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...

The presented paper presents the statistical analysis of the dwt coefficients of ear’s images in order to ascertaining the bio-metrics identity of a person. The dwt coefficients matrix contains the frequency variations of ear’s images in three parts; the lower half of the matrix that contains the low frequency elements that make up the flashy part of the ear, the upper half that contain the hig...

This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT anal...