An enhanced quantum-based image fidelity metric, the QIFM metric, is proposed as a tool to assess the “congruity” between two or more quantum images. The often confounding contrariety that distinguishes between classical and quantum information processing makes the widely accepted peak-signal-to-noise-ratio (PSNR) ill-suited for use in the quantum computing framework, whereas the prohibitive co...

This paper describes a compact resolutionand scale-independent representation for penand-ink illustrations. The proposed representation consists of a low-resolution grey-scale image, augmented by a set of discontinuity segments. We also present a new reconstruction algorithm that magnifies the low-resolution image while keeping the image sharp along the discontinuities. By storing pen-and-ink i...

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 e...

A pyramid approach for multimodality image registration based on mutual information is presented. The image pyramid is obtained by using the wavelet transform. An exhaustive search algorithm at the coarsest level of the image pyramid is developed. Image partitioning and gray level intensity binning are used to increase the fidelity of the process. Because of the fact that image partitioning is ...

Since the conception of automatic fractal image compression, the research on this topic has grown rapidly. This work is intended to provide a new vision on this automatic process by introducing the idea of multi-scale domainpool classification based on the complexity of the image to be compressed. A preprocessing analysis of this image identifies the complexity of each image block computing its...

Variational pansharpening can enhance the spatial resolution of a hyperspectral (HS) image using a high-resolution panchromatic (PAN) image. However, this technology may lead to spectral distortion that obviously affect the accuracy of data analysis. In this article, we propose an improved variational method for HS image pansharpening with the constraint of spectral difference minimization. We ...