This paper presents a cryptographic technique that encrypts secret information using a coding image by transforming the pixels of this image from the intensity domain to the characters domain using a hash function. In the proposed technique, the coding image will be used to encrypt the secret information at the sender and decrypt it at the receiver using the pixels whose intensity values are tr...

Based on our systematic studies of IRLS (InfraRed Line-Scanner) image statistical properties and comparative analyzes of state-of-the-art transform based image coders, we propose coding performance improvements by spatial image segmentation and operational rate-distortion optimization. We present in this paper, a new approach for an adaptive coding of IRLS images which combines the advantages o...

To get better and flexible performance, region-based image coding has been studied widely in the last few years. In region-based image coding, the whole image can be divided into two parts: region-of-interest (ROI) and background area. ROI is coded in low compression ratio, while background area is coded in high compression ratio. In this paper, shape-adaptive DCT (SA-DCT) for coding arbitraril...

Data transmission security has become an extremely important field of research. Steganography is an art of hiding information in image, audio and video files in a way that would meet the security requirements in the form of overt or covert. In this study, we propose a new hybrid steganography technique for color images that hide secret messages in the frequency domain of a cover image's blu...

The so-called 2 generation image coding methods segment images into homogenous regions of various sizes adaptively. Each region is then coded with an appropriate method according to its perceptual characteristics. One of our research aims is to extend 2 generation image coding methods to meet not only the traditional rate distortion criterion but also the new "easy content access" criterion [6]...

In this paper, new adaptive medical image coding technique based orthogonal polynomials transformation is proposed. The input image is first applied with the proposed orthogonal polynomials based modified zero crossing algorithm for edge detection since it is not sensitive to noise and surface irregularities. Then the scan filling algorithm is used to separate the foreground that contains the m...

— Segmentation-based image coding methods provide high compression ratios when compared with traditional image coding approaches like the transform and sub band coding for low bit-rate compression applications. In this paper, a segmentation-based image coding method, namely the Binary Space Partition scheme, that divides the desired image using a recursive procedure for coding is presented. The...

In this article, an efficient vector quantization (VQ) scheme called side-match finite-state vector quantization with adaptive block classification is presented for image compression. It makes use of edge information contained in image in additional to the average values of blocks forming the image. In order to achieve low bit rate coding while preserving good quality images, neighboring blocks...

We present an image coding method explicitly designed for easy content access, i.e., content-based image retrieval. Based on a number of well-studied conventional image coding methods, namely segmentation-based image coding (SBIC), vector quantization (VQ), and a recently developed coloured pattern appearance model (CPAM), we have developed an image coding method with a compressed stream from w...

Pattern recognition has emerged as an effective measure for automated system. I n such an approach the coding is carried out over a set of images and result are retrieved based on the best match approach. Where image features are taken as the representative feature for image coding, the introduced artifacts are the major effects at the coding level. In this work a shape oriented coding based on...