The scheme proposed in this paper combines independent components analysis (ICA) with discrete wavelet transform (DWT) and discrete cosine transform (DCT). Firstly, the original image is decomposed by 2-D DWT and the detail sub-bands are reserved. Then, the approximate image is transformed by DCT and embedded with watermark. The watermark is detected through ICA. The simulation results demonstr...

We propose a new algorithm for the design of overcomplete dictionaries for sparse coding that generalizes the Sparse Coding Neural Gas (SCNG) algorithm such that it is not bound to a particular approximation method for the coefficients of the dictionary elements. In an application to image reconstruction, a dictionary that has been learned using this algorithm outperforms a dictionary that has ...

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...

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 proposes an evaluation of various compression techniques, for ultrasound images transmission, within a telemedicine project. For the purpose of this work, we selected seven compression methods : Fourier Transform, Discrete Cosine Transform, Wavelets, Quadtrees Transform, Fractals, Histogram Thresholding, and Run Lenght Coding. Preliminary results obtained on echographic images show t...

In this paper we will discuss the usefulness of overcomplete systems of basis functions, such as wavelets or localized sine and cosine functions, for the adaptive parsimonious representation and estimation of statistical signals which show an inhomogeneous behaviour over time. Typical examples can be found in electrical engineering, sound and speech processing, geophysics, biomedicine, etc. We ...

Image compression plays a vital role in digital image processing. The need for image compression becomes apparent when number of bits per image are computed resulting from typical sampling rates and. quantization methods. For example, the amount of storage required for given images is (i) a low resolution, TV quality, color video image which has 512 x 512 pixels/color,8 bits/pixel, and 3 colors...

In this correspondence, we generalize the theory of compactly supported biorthogonal two-channel wavelet bases to M -channel. A sufficient condition for the M -channel perfect reconstruction filter banks to constructM -channel biorthogonal bases of compactly supported wavelets is derived. It is shown that the construction of biorthogonal M -channel wavelet bases is equivalent to the design of a...

Iris recognition is basic technology for personal identification and verification and is most reliable and accurate for biometric identification system. Iris recognition system gives security to the organization and Institutes from the unauthorized access . Digital templates encoded from iris pattern using mathematical and statistical algorithms allow the identification of an individual. In thi...

Over the use of Internet, digital watermarking provides the protection for multimedia data. In the contemporary days, misuse of multimedia data is done at a huge level and encryption of the sensitive data flowing through the network or Internet is one of the most important factors for the copyright issues. So, in order to save the information from being stolen or misused, digital watermarking t...