Deblurred Images Post-Processing by Poisson Warping

In this work we develop a post-processing algorithm which enhances the results of the existing imagedeblurring methods. It performs additional edge sharpening using grid warping. The idea of the proposed algorithm is to transform the neighborhood of the edge so that the neighboring pixels move closer to the edge, and then resample the image from the warped grid to […]

Image-Based Process Monitoring Using Low-Rank Tensor Decomposition

Image and video sensors are increasingly being deployed in complex systems due to the rich processinformation that these sensors can capture. As a result, image data play an important role in processmonitoring and control in different application domains such as manufacturing processes, food industries, medical decision-making, and structural health monitoring. Existing process monitoring techniques fail to fully utilize the information of color images due to […]

Forensic detection of processing operator chains: recovering the history of filtered JPEG images

Powerful image editing software is nowadays capable of creating sophisticated and visually compelling fake photographs, thus posing serious issues to the trustworthiness of digital contents as a true representation of reality. Digital image forensics has emerged to help regain some trust in digital imagesby providing valuable aids in learning the history of an image. Unfortunately, in real scenarios its application is […]

Stacking integration methodologies in 3D IC for 3D ultrasound image processing application: A stochastic flash ADC design case study

In three-dimensional integrated circuit (3D IC) systems that use through-silicon via (TSV) technology, a significant design consideration is the coupling noise to/from TSVs. In Analog/Mixed signal ICs, the TSV coupling effect can cause coupling noise disturbance and degrades the performance of sensitive analog devices. In this paper, two different stacking integrations for the sensor array […]

Block-Based Spatial Prediction and Transforms Based on 2D Markov Processes for Image and Video Compression

Conventional intraframe coding is performed in two steps. First, a block of pixels are predicted by copying previously reconstructed neighbor pixels of the block along an angular direction inside the block. Then, the prediction residual block is transform coded with the well-known 2D discrete cosine transform (DCT). Recently, it has been shown that transforming the […]

Processing high resolution images of urban areas with self-dual attribute filters

The application of remote sensing to the study of human settlements relies on the availability of different types of image sources which provide complementary measurements for the characterization of urban areas. By analyzing images of very high spatial resolution (metric and submetric pixel size) it is possible to retrieve information on buildings (e.g., characterizing their size and shape) and […]

Color Sparse Representations for Image Processing: Review, Models, and Prospects

Sparse representations have been extended to deal with color images composed of three channels. A review of dictionary-learning-based sparse representations for color images is made here, detailing the differences between the models, and comparing their results on the real and simulated data. These models are considered in a unifying framework that is based on the degrees of freedom of […]

Integration of Gaussian process and MRF for hyperspectral image classification

In this paper, we propose a framework GP-MRF, which combines Gaussian processes (GPs) and Markov random field (MRF) for accurate classification of hyperspectral remote sensing image (HSI) data. This method exploits the relationship among adjacent pixels and integrates it into spectral information to obtain spectral-spatial classification. This framework consists of two steps. Firstly, a GP classifier (GPC) yields pixelwise […]

Quantitative Assessment of Flame Stability Through Image Processing and Spectral Analysis

This paper experimentally investigates two generalized methods, i.e., a simple universal index and oscillation frequency, for the quantitative assessment of flame stability at fossil-fuel-fired furnaces. The index is proposed to assess the stability of flame in terms of its color, geometry, and luminance. It is designed by combining up to seven characteristic parameters extracted from […]

Digital Image Processing of The Ghent Altarpiece: Supporting the painting’s study and conservation treatment

Hanging in the Saint Bavo Cathedral in Ghent, Belgium, is The Ghent Altarpiece, also known as The Adoration of the Mystic Lamb (see Figure 1). According to an inscription on the outer frames, it was painted by brothers Hubert and Jan van Eyck for Joos Vijd and?his wife Elisabeth Borluut in 1432. It is one […]