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High Dynamic Range Imaging is a inevitable step in machine vision for a high dynamically illuminated environment. In cost-wise aspect it is better to convert the high dynamic image to a low dynamic one with preserving the maximum information with the help of Tone Reproduction Algorithm. Another essential feature in colour based object recognition is colour constancy, especially in identifying metal...
JPEG standard is commonly used for the still image compression. However, the DCT-based coding of JPEG is one of the lossy compression tools and introduces most artifacts in the decompressed image such as blocking and ringing artifacts. In this paper, our proposed method focuses on how to efficiently detect the blocks which cause ringing artifacts. Moreover, these ringing blocks will be further filtered...
Visual attention models are typically designed based on human gaze patterns recorded through eye tracking. In this paper, two similar eye tracking experiments from independent laboratories are presented, in which humans observed natural images under task-free condition. The resulting saliency maps are analysed with respect to two criteria; the consistency between the experiments and the impact of...
Texture compression is a specialized form of still image compression employed in computer graphics systems to reduce memory bandwidth consumption. Modern texture compression schemes cannot generate satisfactory qualities for both alpha channel and color channel of texture images. We propose a novel texture compression scheme, named ImTC, based on the insight into the essential difference between transparency...
Recent methods of image quality assessment emphasise on pooling of multiple criteria of visual importance for comparing across different natural images. An important applicational aspect of pooled assessment is in selection of a desired image processing operator from a family of available such. Medical imaging has matured of ages utilizing multiple methods of image processing to achieve similar objectives...
In this paper, we propose a multi-scale matching approach to address the data association problem in vision-based simultaneous localization and mapping (SLAM). Data association in vision-based SLAM can be simply represented as a feature correspondence problem related to two features observed in different positions under different imaging conditions. We apply an improved Harris detector to automatically...
Simplified visualisation of the fuel spray developing process of varied ethanol content in an open spray by the liquid injection technique. For obtaining spray characteristics in the liquid, the visualisation principles were based on spray penetrations images. The video imaging and schlieren technique have been used to investigate the spray development and behaviours at different injection time defined...
We propose a new model to stylize lighting effects in 2D images. Our stylizations are based on well-known artistic styles ranging from Chiaroscuro to comics. Lighting has always been used in graphical art to give realism to an illustration or to enhance visual contrasts between objects in a scene. This allows creating a global atmosphere. Giving an input image, our model automatically generates a...
On roads, drivers can detect traffic sign extraordinarily fast and accurately; however, the computer vision system does not easily imitate this natural ability although using a lot of image processing techniques. This weakness can be tackled by a bottom-up visual saliency method based on traffic-sign colours which occupy certain ranges of RGB values. These values can be used to modulate the bottom-up...
A perceptually adaptive scheme for image watermarking by bit inverting transformation is developed. The transformation performs the change of a signal level by both inverting a bit and changing the level at random in a limited range. From the property analysis of the transformation, a perceptual model of two metrics of level distortion is assumed for evaluating a subjective visual quality of the transformed...
This paper presents a novel architecture for a classification system based on the visual saliency of images. The work is motivated by the difficulty of reviewing large numbers of images as a human operator in the context of Autonomous Underwater Vehicle (AUV) surveys. We formulate a feature space in which an algorithm operates over color and texture to determine saliency and illustrate how this can...
This paper describes a large-scale experimental study, in which a humanoid robot learned to press and detect doorbell buttons autonomously. The models for action selection and visual detection were grounded in the robot's sensorimotor experience and learned without human intervention. Experiments were performed with seven doorbell buttons, which provided auditory feedback when pressed. The robot learned...
Visual saliency is a well-known image processing technique based on theory about visual attention of human beings. Several proposed computing approaches based on findings in psychological and neurological researches about the part of human brain area in charge of visual attention. Contrast to those methods, in this paper the information theory is recommended as backbone for a new approach of building...
Image fusion quality assessment method based on Error-sensitive Model was seen as the issue of the fidelity of the image signal rather than fidelity of image information.Because they didn't consider the human visual characteristics,they are inconsistent with the subjective evaluation.In this paper,based on SSIM algorithm,considering the fidelity of image information,it will combine the structural...
In this paper an adaptive Gaussian mixture model is introduced firstly to remove the shadow of regions of interest in the detection of moving human body from current video sequences. Then use a proposed method of obtaining ROI. From the view of the tracking effect, it can be concluded that this method of removal shadow of regions of interest can improve the precision rate of segment of moving people...
Scene recognition poses great challenges due to large intra-class variations. We present a novel visual descriptor to build scene gist.It is an extended version of census transform histogram.The proposed gist model is more robust and has better generalizability.It is a holistic scene-centered representation that bypasses the segmentation and the processing of individual objects or regions.We experimentally...
Motion analysis can be applied in a number of fields including, e.g. video surveillance, human-computer interaction, smart homes, etc. Due to the large amounts of data associated with usual videos, it is essential for motion analysis algorithms to be computationally efficient. In view of the remarkable efficiency of biological vision systems in dealing with visual information, we propose a motion...
In this paper, a novel extended visual cryptography scheme is presented. Differ from any existing visual cryptography scheme, the proposed scheme encodes one secret image into one shared image with innocent-looking. The secret image is visually revealed by copying the share, shifting the copy and superimposing the shifted copy and the original share together. The proposed scheme has the advantages...
We propose a visual recognition system for robotic applications in which distance to the visual objects can change a lot (for instance, trying to recognize a distant object learned from a short distance). Our system takes advantage of a single pan-tilt camera controllable in zoom and focus. Focus control allows to detect plans of sharpness in the scene and indirectly to compute a distance. Hence,...
Halftone visual cryptography is an encryption mechanism that a secret image is encoded into halftone shares for showing meaningful images. You only need to superimpose part of these share images. Then, images can be shown the original confidential. In this paper, we propose an encoding scheme to improve the efficiency of visual secret sharing technology. We use the relative location information of...
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