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The analysis of living ocular tissues at microscopic scale has been a challenge during the last two decades. The development of confocal scanning laser microscopes [1] (CSLM) allowed 3D imaging of the living human cornea at cellular resolution. In vivo CSLM provides visualization of the several corneal structures such as epithelial cells, keratocytes and the endothelium. However, commercially available...
Aerial archaeology use vertical aerial photography and satellite images, allowing the identification of archaeological sites, both isolated or in agglomeration, since aerial images capture large scales of the territory. These images combined with Geographic Information Systems are powerful tools in Archaeology. This work, through the integration of photo interpretation techniques over aerial and satellites...
We present an efficient technique for high-definition image and video salient object detection using a hierarchical Boolean map approach. We begin by extracting multiple boolean map layers. Within each layer, we then apply flood fill algorithm to each seed pixel in parallel to generate attention maps. The saliency map is calculated by summing up all the attention maps. We further improve video consistency...
This paper presents a method to convey images to visually impaired people. It takes the images from a camera, which could be on a smartphone or embedded into eyeglasses, and then converts them into a set of modulated frequencies mixed together into one single audio melody, that is then played back to the user. Although it is very difficult for a normal user to makes sense of all the information that...
The terajet, which is the generation of a jet in the terahertz (THz) frequency band (0.1 THz–10 THz), has attracted significant research interest owing to its subwavelength hotspot that can be exploited in THz imaging applications. To date, the generation of the terajet from a dielectric cuboid has been studied and verified under planar incidences. In practical applications of high-resolution THz...
In Shamir's polynomial-based secret sharing scheme, a secret image is generated into n shadow images and distributed to n associated participants. The secret image can be recovered by collecting any k or more shadow images. Unfortunately, the previous Shamir's scheme neglected the situation of participants increasing. However, in some applications, some new shadow images need to be generated because...
The recent advances in light field imaging are changing the way in which visual content is captured, processed and consumed. Storage and delivery systems for light field images rely on efficient compression algorithms. Such algorithms must additionally take into account the feature-rich rendering for light field content. Therefore, a proper evaluation of visual quality is essential to design and improve...
The ever-shrinking world of semiconductors has always challenged the interplay of tool capability, process integration, and characterization. The fine line between structural or electrical success and failure has steadily been redefined from microns to nanometers with leading edge technology using terms with the likes of angstroms and layers of atoms. Failure modes at these nodes become increasing...
With the explosion of Virtual Reality technologies, the production and usage of omni directional images (a.k.a 360 images) is presenting new challenges in the domains of compression, transmission and rendering. The evaluation of the quality of images generated by these technologies is therefore paramount. As the exploration of 360 images within a Head-Mounted Display (HMD) is non-uniform, current...
Lossy image compression algorithms are pervasively used to reduce the size of images transmitted over the web and recorded on data storage media. However, we pay for their high compression rate with visual artifacts degrading the user experience. Deep convolutional neural networks have become a widespread tool to address high-level computer vision tasks very successfully. Recently, they have found...
Microscopic analysis of histological sections is considered the “gold standard” to verify structural parcellations in the human brain. Its high resolution allows the study of laminar and columnar patterns of cell distributions, which build an important basis for the simulation of cortical areas and networks. However, such cytoarchitectonic mapping is a semiautomatic, time consuming process that does...
Face Super Resolution(FSR) is to infer High Resolution(HR) facial images from given Low Resolution(LR) ones with the assistance of LR and HR training pairs. Among existing methods, local patch based methods are superior in visual and objective quality than global based methods. These local patch based methods are based on the consistency assumption that the neighbors in HR/LR space form similar local...
This paper concerns the problem of converting High Dynamic Range (HDR) images into Low Dynamic Range (LDR) images so as to display the mapped images on LDR display devices. A fast, effective and flexible tone mapping algorithm preserving visibility, contrast and impression of the HDR real-world scene is developed. It is based on the Stationary Wavelet Transform (SWT) decomposition reducing a large...
This study focuses on effects of uniform and full height map correction methods for dewarping book spread images in an automated book reader design for individuals with visual impairment and blindness. The design concept could also be applied to address the challenging process of book digitization. The method is dependent on the geometry of the book reader setup for acquiring the 3-D maps that yield...
In this work, two enhancement methods are proposed to speed up junction detection performed by the JUDOCA detector. The first enhancement method minimizes the number of junction candidates on which the circular kernel is applied. This is achieved by introducing a suppression technique that takes both the thin and thick edge images into consideration. The second method works on relaxing the step of...
The fresh and defective beef identification by consumers is subjectively through visual observation. However, identifying beef quality manually has disadvantage, there is human visual limitations, differences in human perception in assessing the quality of an object, and ability of each individual knowledge are different. Therefore, we need a technological device that can be applied to identify the...
This paper proposes a new approach for image classification by combining pyramid match kernel(PMK) with spatial pyramid. Unlike the conventional spatial pyramid matching (SPM) approach which only uses a single-resolution feature vector to represent an image, we use a multi-resolution feature vector to represent an image for SPM. We then calculate the match scores at each resolution of SPM representation...
This paper addresses the design of a partitioned vision-guided scheme for repetitive optical biopsies. More precisely, our approach uses two image modalities to perform 6 degrees of freedom (DOF) positioning task. The development aims to partition the control into 3 DOF controlled by the B-scan images acquired with an optical coherence tomography (OCT) system and the remaining 3 DOF controlled by...
A new algorithm based in Crεmε Filter, is presented for breast cancer detection. The images obtained show micro calcifications with better contrast, allowing a better detection of cancer. The filter has only one parameter that permitting to observe texture when parameter is changed.
Recently, investigating boundary prior to aid other low-level image cues, have gained great attention in salient object detection. Although the salient regions are mostly located in the image center, the inverse might not necessarily be true. In addition, such kind of center-bias assumption is very simple and fragile, especially when salient regions often touch the image boundary or the images are...
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