Nowadays, more and researchers are interested in reversible data hiding encrypted images (RDHEI), which can be applied privacy protection cloud storage. In this paper, a new RDHEI method on the basis of hierarchical quad-tree coding multi-MSB (most significant bit) prediction is proposed. The content owner performs pixel to obtain error image explores maximum embedding capacity by before encryp...

This paper presents a novel steganographic algorithm based on the spatial domain: Selected Least Significant Bits (SLSB). It works with the least significant bits of one of the pixel color components in the image and changes them according to the message’s bits to hide. The rest of bits in the pixel color component selected are also changed in order get the nearest color to the original one in ...

Reversible image watermarking enables the embedding of copyright or useful information in a host image without any loss of information. Here a novel technique to improve the embedding capacity i.e. reversible watermarking using an adaptive prediction error expansion & pixel selection is proposed. This work is an improvement in conventional Prediction Error Expansion by adding two new techniques...

This report presents a framework for per-pixel analysis of the qualitative and quantitative aspects of luminous environments. Recognizing the need for better lighting analysis capabilities and appreciating the new measurement abilities developed within the LBNL Lighting Measurement and Simulation Toolbox, “Per-pixel Lighting Data Analysis” project demonstrates several techniques for analyzing l...

In this research paper, consists of compressing the images within each pixel before the storage processes, hence the size of the memory gets reduced. This can be done by the proposed method namely block based compression algorithm which uses the differential coding scheme. Here, differential values are captured and then quantized. The differential coding scheme uses the concept of selecting the...

This paper presents a new method for attractor coding of images. A contractive transformation, T is deened in a piecewise manner from a given image by aane mappings over triangular image regions. The image is then represented by T. Bit rates of 0:5 bits per pixel have been obtained for the 512x512 sized LENNA test image at 30.1 dB p-p SNR.

This paper presents a prediction-based image-hiding scheme that embeds secret data into compression codes during image compression. This scheme employs a two-stage structure: a prediction stage and an entropy coding stage. The secret data is embedded into the difference values of a given image after the prediction stage is performed. According to the experimental results, the image quality is b...

The DCT performs very important role in the application of lossy compression for representing the pixel values of an image using lesser number of coefficients. Recently, many algorithms have been devised to compute DCT. In the initial stage of image compression, the image is generally subdivided into smaller sub-blocks and then these sub-blocks are applied to DCT. In this paper we have presente...

In this paper, we propose a new method of non-adaptive LSB steganography in still images to improve the embedding efficiency from 2 to 8/3 random bits per one embedding change even for the embedding rate of 1 bit per pixel. The method takes 2-bits of the secret message at a time and compares them to the LSBs of the two chosen pixel values for embedding, it always assumes a single mismatch betwe...