We have developed a method for the linear reconstruction of an image from undersampled, dithered data. The algorithm, known as Variable-Pixel Linear Reconstruction (or informally as “drizzling”), preserves photometry and resolution, can weight input images according to the statistical significance of each pixel, and removes the effects of geometric distortion both on image shape and photometry....

In this paper, we propose a new postprocessing method for low bit-rate wavelet-based image coding which uses the technique of wavelet modulus maximum representation (WMMR). The edge degradation from wavelet-based coding is discussed under the overcomplete wavelet expansion, and interpreted as the distortion of wavelet modulus maxima, i.e. magnitude decays. Based on the empirical analysis and ex...

A novel approach to secret image sharing based on a ðk; nÞ-threshold scheme with the additional capabilities of steganography and authentication is proposed. A secret image is first processed into n shares which are then hidden in n user-selected camouflage images. It is suggested to select these camouflage images to contain well-known contents, like famous character images, well-known scene pi...

This paper presents the concept of a fidelity slider, which is a user-defined method that enables trading off accuracy for performance in a parallelized application. The slider is defined in the context of the Canny edge detector, but can be generalized to other image processing algorithms. The slider moderates discontinuity issues introduced by an image-slicing technique used to increase the l...

We propose an edge-preserving filtering method with a novel use of the L0 gradient. Our method, termed as the L0 gradient projection, is formulated as the minimization of a quadratic data-fidelity to an input image subject to the constraint that theL0 gradient, the number of non-zero gradients, of the output image is less than a user-given parameter α. This strategy is much more intuitive than ...

In this paper we present a New Genetic Algorithm based on Center of Mass Selection Operator (CMGA), to find the optimum locations for digital watermark insertion in a cover image, by focusing on the issue of optimizing Fidelity. The various existing techniques based on spatial and frequency domain suffers with poor Fidelity problems. In this paper we have used a center of mass selection operato...

In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish a correspondence between image pixels across a series of frames, and our goal is to maintain this relationship during processing. In our past work, we considered algorithms that relied on the sum-of-absolute difference...

This paper proposes an efficient compression scheme for compressing time-varying medical volumetric data. The scheme uses 3-D motion estimation to create a homogenous preprocessed data to be compressed by a 3-D image compression algorithm using hierarchical vector quantization. A new block distortion measure, called variance of residual (VOR), and three 3-D fast block matching algorithms are us...

Intelligent compression is important to image transmission in real time over bandlimited channels for synthetic aperture radar (SAR) payloads deployed on unmanned aerial vehicles (UAV), where target areas are encoded with high fidelity, while background data are encoded with lesser fidelity. A target-aided SAR image intelligent compression (TAIC) system is presented in this paper, which utilize...

Uncompressed multimedia data occupy more storage space and very high data rates for transmission. Innovation is always under process to derive new high speed and efficient image compression methodologies. The main aim of this paper is to determine suitable wavelet for image compression using hybrid wavelet multi neural network architecture. A detailed comprehensive experimental analysis is carr...