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This research presents an image retargeting scheme consisting of two main operations, the content-based cropping and seam carving, to modify the width/height of imagery data. The seam carving is first employed to remove insignificant pixels in the middle part of image. The selection of seams is based on the gradient in one direction and local energy to avoid obvious distortions. When the background...
The present study involves an investigation of a pointwise approach on the feature covariance matrix to extract textu-ral features for very high resolution (VHR) satellite images. Indeed, our proposition is to construct the covariance matrix of oriented gradients using a non-dense approach based on characteristic points extracted from the image. This novel non-dense covariance descriptor is capable...
A new method for hyperspectral image (HSI) visualization is proposed in this paper, which emphasizes on pairwise distance preservation and detail enhancement. It includes two sequential steps. The first reduces the high dimensional spectral space of HSI to 3-D color space by distance preservation method, and then enhancesthe detailed information by Lapla-cian pyramid. Distance preservation is an optimization...
Although still-to-video face recognition is an important function in watchlist screening, state-of-the-art systems often yield limited performance due to camera inter-operability and to variations in capture conditions. Therefore, the visual comparison of faces captured in unconstrained low-quality videos against a matching high-quality reference facial still image captured under controlled conditions...
Classification of high-resolution remote-sensing images is a challenging research area. In this paper we proposed a novel decision fusion framework to combine bag of features (BOF) based classifiers. The proposed framework, can also be used in multi category image classification applications. A single voting algorithm is used for decision fusion and an ambiguity detection module is used to determine...
In this paper we present a new algorithm for pupil center localization. The face and eyes of the target subject are detected using the Cascade Classifier algorithm based on Haar-like features. A histogram equalization method is employed to increase image contrast. The core feature of our pupil center detection consists of an adaptive template matching procedure applied on the eye region image that...
It is known that face recognition rate is affected by the resolution of probe image. Therefore it is natural to expect improving the resolution via face hallucination would increase the recognition rate. However, it was concluded in the previous works that improvement in the visual quality does not necessarily lead to a better recognition rate, and performance of face hallucination for recognition...
This paper proposes an optimization scheme for the image interpolation algorithms, in particular the bilinear algorithm. The only original point is a decision step in which it is decided whether the four neighbouring pixels have the same value and if so the conventional bilinear interpolation is replaced by a nearest neighbour interpolation. The experimental results corroborated the efficiency of...
In this paper, we propose an automatic and efficient method to enhance edge sharpness of images. Starting from an image with blur edges, we improve the edges using transformed Heaviside functions for better visualization. In addition, we provide an efficient method to directly compute the scaling and shifting factors of the transformed Heaviside functions, so that blur edges can be improved accurately...
The paper considers application of phase correlation method for solving 3D navigation problem. It is used for development of effective autonomous single-camera visual navigation systems for unmanned aerial vehicles.
Saliency-based approaches has been well studied and successfully used in object detection for visible images. However, few researches have been done for saliency detection in infrared images, which are characterized with low resolution, SNR and contrast, fuzzy edge and lack of color features. In this paper, a contrast and distribution based saliency detection approach is proposed for infrared images...
Micro aerial vehicles, such as multirotors, are particular well suited for the autonomous exploration, examination, and surveillance of otherwise inaccessible areas, e.g., for search and rescue missions in indoor disaster sites. Key prerequisites for the fully autonomous operation of micro aerial vehicles in restricted environments are 3D mapping, real-time pose tracking, obstacle detection, and planning...
Deep learning has shown great successes in solving various problems of computer vision. To the best of our knowledge, however, little existing work applies deep learning to saliency modeling. In this paper, a new saliency model based on convolutional neural network is proposed. The proposed model is able to produce a saliency map directly from an image's pixels. In the model, multi-level output values...
There is no suitable golden standard for the detection of atypical pigment network and irregular streaks applied to skin lesion images. This information however is important in assessment of melanoma in skin dermatoscopic images. Thus there is a need for development of image analysis techniques that satisfy at least subjective criteria defined by dermatologists. In this paper we present the application...
In regard with extrinsic and intrinsic parameters of a camera system, either factory or man-made settings may degrade the quality of the output image. Specifically, inappropriate exposure control may unintentionally cause the resultant image containing over-exposure regions and/or saturated color channel(s). Such an effect is the so-called clipped pixels or clipped image regions. In this paper, we...
Short-term single-object (STSO) tracking in thermal images is a challenging problem relevant in a growing number of applications. In order to evaluate STSO tracking algorithms on visual imagery, there are de facto standard benchmarks. However, we argue that tracking in thermal imagery is different than in visual imagery, and that a separate benchmark is needed. The available thermal infrared datasets...
We conducted an experiment in which subjects viewed a 4K-resolution image shown on a big screen displayed at different viewing positions, we then analyzed gazing point at the respective positions. The study design included two viewing distances 0.75H (51cm, H is the display height) and 1.5H (102cm), and three viewing positions (center, right and left) as the parameters for subjects viewing the experimental...
Gaze movement is the combination of head movement and eye movement when viewing images. The development of big screen displays in recent years has been remarkable, and it is thought that people move their heads more aggressively when viewing images on a big screen. Moreover, people can often view more than one image at a time on a big screen display, or on the big screen in a movie theater. It is...
Images with high resolution (HR) are often desired and required in imaging applications. Super-resolution (SR) is a promising but still challenging task to obtain an HR image (or sequence) from the observed low-resolution (LR) image (or sequence). In this paper, we present an SR approach for single image, by combining the image observation model, image nonlocal similarity, and sparse representation...
Image viewing distance plays an important role in the assessment of image Quality of Experience (QoE). In this work, we present a subjective image QoE study in which a total of 494 images evaluated by more than 30 human subjects at 7 different viewing distance. Through the study, we observed that different images have different regularities between viewing distance and their QoE. A No-Reference QoE...
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