The selection of filter bank in wavelet compression is crucial, affecting image quality and system design. Recently, the biorthogonal coiflet (cooklet) family of wavelet filters has been constructed [2] [4], and explicit frequency domain formulae have been developed [2] in the Bernstein polynomial basis. In this paper we use the Bernstein basis for frequency domain design and construction of bi...

Multi-channel compression schemes are a practical method of mapping the wide dynamic range of speech signals into the reduced dynamic range of hearing impaired listeners. These systems address two of the shortcomings of single-channel compression systems: (1) the reduction of gain as a result of narrow-band non-speech stimuli and (2) the reduction of gain that often occurs when high-frequency s...

In this paper, a new method for image compression is proposed whose quality is demonstrated through accurate 3D reconstruction from 2D images. The method is based on the discrete cosine transform (DCT) together with a high-frequency minimization encoding algorithm at compression stage and a new concurrent binary search algorithm at decompression stage. The proposed compression method consists o...

This paper presents a new approach of edge preserving and edge based segmentation for compression of images using Modified Fast Haar wavelet transform (MFHW) and Bit Plane Encoder to elevate the compression ratio with high picture quality. The edges of an image are preserved to increase the PSNR, and then the detected edges are used to segment the foreground and background images. The Foregroun...

Three different non-linear digital signal processing algorithms were developed; LinEar, DynEar and RangeEar. All three provided individual frequency shaping via a seven-band low-power filterbank and compression in two channels. RangeEar and DynEar used wide dynamic range syllabic compression in the low-frequency (LF) channel, while LinEar used compression limiting. In the high-frequency (HF) ch...

A novel watermarking scheme for color images has been proposed using column DCT wavelet transform. To improve the robustness of watermarking scheme, compressed watermark with tolerable fidelity is embedded into host image. Middle frequency coefficients are selected for embedding watermark so that the proposed scheme can sustain attacks like lossy image compression where high frequency coefficie...

We study collective excitation modes of a fermionic gas of (6)Li atoms in the BEC-BCS crossover regime. While measurements of the axial compression mode in the cigar-shaped trap close to a Feshbach resonance confirm theoretical expectations, the radial compression mode shows surprising features. In the strongly interacting molecular BEC regime, we observe a negative frequency shift with increas...

In this paper a simple image compression scheme is proposed, it is based on using two transformation techniques in the frequency domain of DWT and DCT to decompose the image signal and then using Minimize-Matrix-Size algorithm to efficiently encode the compress information that reduces high-frequency matrix size, and makes it easy to be compressed by arithmetic coding. The test results of the s...

We present frequency and spatial adaptive packet wavelet coder implemented with Cellular Neural Network architecture. This paper also demonstrates how the cellular neural universal machine (CNNUM) architecture can be extended to image compression. The packet wavelet coder performs the operation of image compression, aided by CNN architecture. It uses the highly parallel nature of the CNN struct...

The current network scenario demands secure and fast communication of information. This requires both compression and encryption. Arithmetic coding provides compression as well as data security. In fixed model arithmetic coding security is improved by assigning symbol frequencies arbitrarily rather than matching the frequency of occurrence in the source input and by means of random symbol order...