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In the last ten years solar energy has expanded its application range from power plants to many industrial applications. The main scope of this paper is to investigate the correlation between aerial image capture altitude and potential defect identification on PV modules. For this scope, unmanned technology was employed to fly over a test laboratory in order to capture images of the modules using...
Understanding a scene provided by very high resolution (VHR) satellite imagery has become a more and more challenging problem. In this paper, we propose a new method for scene classification based on saliency computing of patches sampling from the VHR images. Sparse principal component analysis (sPCA) is then adopted to select the corresponding informative salient patches for image scene representation...
Scene classification of high resolution remote sensing images plays an important role for a wide range of applications. While significant efforts have been made in developing various methods for scene classification, most of them are based on handcrafted or shallow learning-based features. In this paper, we investigate the use of deep convolutional neural network (CNN) for scene classification. To...
True orthoimage (TOM) was proposed to solve the problems that DOM generation encountered with high resolution images in urban areas, especially in the areas with high buildings. The correct positions of roof texture are located with the detection of the occlusion and shadows. However, the wall texture is missing after true orthoimage generation. Thus, in this paper, we proposed a method for automatically...
Over the last several decades, visual servoing-a vision-based control approach-has been explored as a popular and inexpensive contactless measurement alternative for a variety of industrial robotic systems. Moreover, recent years have witnessed rapid advancements in mobile device applications that have pushed the envelope in the capabilities of smartphone cameras. In this paper, an eye-in-hand pose-based...
The application of image super-resolution technologies in recent years has increased noticeably. The main purpose of image up-scaling is to obtain high-resolution images from low-resolution images, and these up-scaled images should keep satisfactory visual qualities and present natural textures. The most popular image up-scaling algorithms are based on interpolation methods in spatial domain. However,...
In this paper, we aim at synthesizing a texture from a high-resolution patch and a low-resolution image. To do so, we solve a nonconvex optimization problem that involves a statistical prior and a Fourier spectrum constraint. The numerical analysis shows that the proposed approach achieves better results (in terms of visual quality) than state-of-the-art methods tailored to super-resolution or texture...
The depth cue enhancement can provide better stereo perception for viewers. However, the previous direct depth remapping approach did not consider the perceptual factor of human eyes; which could easily result in viewing discomfort. This paper presents a perceptual oriented depth cue enhancement with nonlinear disparity mapping. This mapping increases the depth resolution of viewer focused depth range...
This paper presents a method which focus on the increase of visual quality of SR image reconstructed from input low resolution image. Similar to the framework as exploited in [1], a modified algorithm is developed which is based on sparse linear regression and iterative back projection. Different from the techniques used in [1] [6], a feature sign search algorithm [17] is used to find the relevant...
This article have as objective to analy se the advertising and the diverse methods of diss emination of ideology, whereby, many people bec ome supporters of determinate groups of guerril has, emphasizing the technological means.
Serious Games are an important tool in health rehabilitation, contributing to increase the motivation of patients in the completion of tasks included in their recovery programs. Following the study of the set of features which can be used to improve cognitive therapy processes, making them more motivating for the patients, we develop a web platform composed of a set of games that seek to integrate...
The development of HDR imaging is seen as an important step towards improving the visual quality of experience (QoE) of the end user in many applications. In practice, Tone-mapping operators (TMOs) provide a useful means for converting a high dynamic range (HDR) image to a low dynamic range (LDR) image in order to achieve better visualization on standard displays. Although mobile devices are becoming...
The paper introduces a framework for replacing selected foreground region with appropriate background region using inpainting and super-resolution techniques. To get maximum details of the missing area, super-resolution algorithm is used. This scheme makes use of inpainting of low-resolution images easier. Main novelty of the paper is in terms of reducing number of computation time by reducing size...
This research presents an image retargeting scheme via content-based cropping. After evaluating the visual saliency of imagery content based on color differences in local areas, SLIC (Simple Linear Iterative Clustering) is employed to identify foreground and background regions. Cropping by following some pre-defined rules is then applied to remove insignificant boundaries. The resulting image is scaled...
Positioning with vision sensors is gaining its popularity, since it is more accurate, and requires much less bootstrapping and training effort. However, one of the major limitations of the existing solutions is the expensive visual processing pipeline: on resource-constrained mobile devices, it could take up to tens of seconds to process one frame. To address this, we propose a novel learning algorithm,...
Despite the great advances made in the field of image super-resolution (ISR) during the last years, the performance has merely been evaluated perceptually. Thus, it is still unclear whether ISR is helpful for other vision tasks. In this paper, we present the first comprehensive study and analysis of the usefulness of ISR for other vision applications. In particular, six ISR methods are evaluated on...
Saliency detection is detecting the more attracted regions in an image. Like a loud noise in a quite environment. Saliency is the contrastic difference between the visually attracted items and their neighbourhood. Detecting such attracted areas in the image is termed to be saliency detection. Salient region detection can be broadly classified into contrast based method, learning based, rarity based...
Automated image retargeting techniques are becoming important with the proliferation of different display units, such as cell phones, notebooks, televisions etc. Scale-and-stretch techniques have been successfully used for resizing images into different aspect ratios, while also preserving the most prominent visual features. The main idea of scale-and-stretch techniques is to utilize a single grid...
Curvature, the second-order directional derivative of an image, has been widely used for image interpolation. However, conventional curvature-based interpolation (CBI) methods employ a time-consuming post processing to reduce visual artifacts such as blurring and jagging caused by the inaccurate estimation of the local curvature. In this paper, a novel fast CBI method is proposed which can precisely...
The resolution of MRI images is limited due to several factors such as imaging hardware or time constraints. However, high MRI image resolution is desired in many medical applications. Traditional Super Resolution (SR) algorithms are generally unable to recover the high frequency (HF) information of MRI images. Recently, spatial adaptive SR algorithms have utilized the combined edge preserving and...
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