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This paper presents a new vision-based vehicle detection method for Forward Collision Warning System (FCWS) at nighttime. Also, lane detection is performed for assistance. To effectively extract the bright objects of interest, an essential image preprocessing including the tone mapping, contrast enhancement and adaptive binaryzation is applied in the nighttime road scenes. The characteristics of taillights...
SSAO(Screen Space Ambient Occlusion) is a global illumination algorithm, it samples the depth information of pixels around each pixel in the screen space to calculate the ambient occlusion caused by the surrounding geometry. It can enhance the sense of space and layering and increase the level of realism. This paper proposes a fast implementation of SSAO, the experimental results demonstrate that...
To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher...
Color detection is generally a primary stage in most of the image processing application, if the application is based on the color information, such as road sign detection, face detection, skin color detection, object detection and object tracking etc. As the performance of subsequent modules in an image processing application is adversely affected by the previous modules, the accuracy of color detection...
Display application often requires a procedure to control panel brightness and decrease the power consumption for different environmental condition. The most of digital power saving (DPS) techniques are applied to determine the flexibility of content adjustment. By the characteristics of display, global brightness usually presents the intensity of power consumption and DPS technique is requested to...
Matching face image under assorted lighting conditions is a challenging task in a face recognition system (FRS). The feature extraction method used in Local Binary Pattern (LBP) fails in detecting the eye position and it is less sensitive to noise in uniform image regions. This paper proposes an Advanced Ternary Pattern (ATP) feature set to overcome these issues. The issue on noise sensitivity in...
This paper using C correction models and methods of study area of ETM images in 2003 ArcInfo software, under the support of map algebra language by using three groups of different resolution levels of the same area of DEM remote sensing images terrain correction. The results show that equals image resolution of remote sensing image for terrain correction when the best effect. This study will for us...
In image composition, the inconsistent illumination of the source images is one of the major problems for seamless stitching of separated patches. The Poisson image editing is a sound technique for seamless image composition. In this paper, we have generalized and improved this technique and applied it onto solving the illumination discontinuity problem for facial image composition. Toward stitched...
This paper describes a method to optimize the power needed to display a video by better illuminating the regions of interest compared to the rest of the video. This method identifies the regions of interest by utilizing parameters from the digital video codecs. It also employs temporal and spatial filters to improve perceptual quality of the video. For our experiment we used MPEG-2 [1] encoded video...
When someone is standing in front of a presentation screen, the contrast between the projector light and the indoor illumination is, as a rule, too great. This causes frequent contraction of the pupils of a person's eyes and thereby great discomfort. In this paper we use both an embedded system and a Webcam to design a digital projector which by using image processing methods reduces dazzle in the...
In computer vision-based Intelligent Transportation Systems (ITS), one of the key techniques is to exactly detect the vehicles. The common way for vehicle detection is the background difference method. In this paper, we introduce several background extraction and updating methods and develop a new background extraction and update method based on histogram in YCbCr color space. By using YCbCr color...
Non-uniform light distribution problems often arise in the text images taken by digital camera. In this paper, we propose a novel technique for text image uneven lighting removal using Empirical Mode Decomposition (EMD). The EMD is local, adaptive and useful for analyzing non-linear and non-stationary signals. In this method, we decompose images by EMD and get the background level locally and adaptively...
In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing very significant limitations, are extensively used. In this work we propose a novel approach to background modeling that operates at region-level in a wavelet based multi-resolution framework. Based on a segmentation of the...
To exploit both spatial and temporal correlation of video signal, a Second Order Prediction (SOP) scheme has been presented to eliminate the spatial correlation existing in motion compensated residue. Although SOP achieves better RD performance by adopting residue prediction in Mode Decision (MD) stage, it can be further improved by combining residue prediction into Motion Estimation (ME). Our analysis...
Image contrast enhancement methods play a key role in many image processing and vision applications. For surveillance applications, real-time contrast improvement over the whole image is required when videos are taken in poor lighting conditions. It is also necessary to highlight details in shadowed regions without introducing artifacts. In this paper, several state-of-the-art contrast enhancement...
augmented reality applications overlap virtual objects over a real scene considering the context. Today, more advanced applications also make use of diminished reality, which removes real objects from a scene. This paper describes a novel approach that combines augmented reality and diminished reality techniques to modify real objects in augmented reality applications. The proposed approach removes...
In this study, an effective foreground/background segmentation approach for bootstrapping video sequences is proposed. First, a modified block representation approach is used to classify each block of the current video frame into one of the four categories, namely, “background,” “still object,” “illumination change,” and “moving object.” Then, a new background updating scheme is developed, in which...
The computation of indirect illumination is fundamental to simulate lighting within a virtual scene correctly and is critical when creating interactive applications, such as games for serious applications. The computation of such illumination is typically prohibitive for interactive or real-time performance if the visibility aspect of the indirect illumination is to be maintained. This paper presents...
In this paper a new stereo vision method is presented that combines the use of a lightness-invariant pixel dissimilarity measure within a dynamic programming depth estimation framework. This method uses concepts such as the proper projection of the HSL colorspace for lightness tolerance, as well as the Gestalt-based adaptive support weight aggregation and a dynamic programming optimization scheme...
We present a robotic vision system that is capable of tracking fast moving objects. We briefly describe the design and construction of the system and concentrate on the biological strategies we have implemented to improve the system's capabilities in terms of speed and accuracy. We have also explored new horizons in the area of artificial intelligence to propose some useful algorithms based on visual...
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