Communication over the internet is facing some problems such as data security, copyright control, authentication etc. Here we introduce a novel scheme for separable data hiding when lossy image used as a cover media. This paper illustrates the various objectives of implementing separable lossy data hiding technique. The system is consists of three steps in the first step encryption of the cover...

When working with color images, many processing algorithms and procedures can perform separation of pixel values into their luminance and chrominance components .This paper presents a new approach to compress the luminance and chrominance components using lossy and lossless Binary Plane Techniques respectively. The results are compared with the compression applied directly on RGB image using lo...

In many practical scenarios, image encryption has to be conducted prior to image compression. This has led to the problem of how to design a pair of image encryption and compression algorithms such that compressing the encrypted images can still be efficiently performed. In this paper, we design a highly efficient image encryption-thencompression (ETC) system, where both lossless and lossy comp...

Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process’s performance, Images are compressed using lossy and Lossless compression schemes. In this paper Fractal image compression is discussed .Fractal image compression is a lossy compression method for digital images, based on fractals. The met...

This paper proposes a modified simple but efficient calculation schema for 2D-Haar wavelet transformation in image compression. The proposed work is aimed at developing computationally efficient and effective algorithms for lossy image compression using wavelet techniques. The work is particularly targeted towards wavelet image compression using Haar Transformation with an idea to minimize the ...

Single and three-channel images are widely used in numerous applications. Due to the increasing volume of such data, they must be compressed where lossy compression offers more opportunities. Usually, it is supposed that, for a given image, larger ratio leads worse quality image according all metrics. This true most practical cases. However, has been found recently that called “strange” which r...

In this paper, we discuss image compression techniques based on the eigenvector matrices used Karhunen-Loeve Transform (KLT) is obtained. Two novel methods are proposed for grouping of eigenvectors via vector quantization in KLT subspace. Various codebook sizes tested purposes. The first approach uses autocorrelation geometrically clustering into fewer numbers vectors. approach, performed using...