In this paper, an efficient data hiding technique based on the discrete cosine transform (DCT) of image is proposed. In this technique, the DCT coefficient is quantized using a predefined mathematical operation then the secret bits are embedded in all frequency component of the quantized DCT coefficient using least significant-bit (LSB) to enable a large message capacity. A comparison between t...

The development and application of various remote sensing platforms result in the production of huge amounts of satellite image data. Therefore, there is an increasing need for effective querying and browsing in these image databases. In order to take advantage and make good use of satellite images data, we must be able to extract meaningful information from the imagery. Hence we proposed a new...

An image zooming method based on vector quantization approximation for magnifying gray-scale and color image by a factor of 2 is proposed. In our proposed method, the unknown pixel values on the image are interpolated by using a vector quantization codebook based on their local information. In comparison of our method with the locally adaptive zooming algorithm published in [S. Battiato, G. Gal...

X-ray mammography is the most common investigation technique used by radiologists in the screening, and diagnosis of breast cancer. The ability to improve diagnostic information from medical images can be enhanced by designing computer processing algorithms that is why we proposed new algorithm to detect cancer in mammogram breast cancer images. In this paper we proposed segmentation using vect...

The exploitation of traces in JPEG double compressed images is utter importance for investigations. Properly exploiting such insights, First Quantization Estimation (FQE) could be performed order to obtain source camera model identification (CMI) and therefore reconstruct the history a digital image. In this paper, method able estimate first quantization factors presented, employing mixed stati...

In this paper we consider electromagnetic field quantization in the presence of a dispersive and absorbing semiconductor quantum dot. By using macroscopic approach and Green's function method, quantization of electromagnetic field is investigated. Interaction of a two-level atom , which is doped in a semiconductor quantum dot, with the quantized field is considered and its spontaneous emission ...

Quantization in video coding plays an important role in controlling the bitrates of compressed video bitstreams. It has been used as an important control means to adjust the amount of bitstreams to allowed bandwidth of delivery networks and storage. Due to the dependent nature of video coding, dependent quantization has been proposed and applied for MPEG video coding to better maintain the qual...

Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources are optimally quantized using separate codebooks, which may collectively require an enormous memory space. Since storage is limited in most applications, a convenient way to gracefully trade between performance and storage...

A new color quantization (CQ) technique and its VLSI implementation is introduced. It is based on image split into windows and uses Kohonen Self Organized Neural Network Classifier (SONNC). Initially, the dominant colors of each window are extracted through the SONNC and then are used for the quantization of the colors of the entire image. The image split in windows offers reduction of the memo...