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This paper introduces region of interest (ROI) as a functionality to local tone mappings of high dynamic range (HDR) radiance maps. In the proposed scheme, a new quadratic regularization method is provided to decompose the luminance of an HDR radiance map into a base layer with large gradients and a detail layer with small gradients. An ROI based global tone mapping is designed to compress the base...
This paper proposes an image clustering algorithm using Particle Swarm Optimization (PSO) with two improved fitness functions. The PSO clustering algorithm can be used to find centroids of a user specified number of clusters. Two new fitness functions are proposed in this paper. The PSO-based image clustering algorithm with the proposed fitness functions is compared to the K-means clustering. Experimental...
Intra prediction is a significant technique in H.264/AVC reference software. However, it has heavy computational complexity. In order to solve this problem, many fast algorithms have been proposed. In this paper, we propose a fast intra mode decision algorithm which predicts the edge direction of the current block using sub-sampled pixels to reduce high computational complexity of the H.264/AVC encoder...
This paper presents a method for moving objects tracking in complicated areas based on features fusion and mean shift algorithm. Primary mean shift algorithm is only based on colour feature, and has a suitable performance especially in partial occlusions. However, primary mean shift algorithm would fail to track in some conditions. This paper exhibits a method to solve mean shift algorithm problems...
Shot boundary detection is a field of research of video processing. It aims to automatically detect the transition between the shots in the digital video. In this paper, a new video cut transition detection algorithm is presented by using Hilbert transform and Gray level co-occurrence matrix (GLCM). Texture features are extracted from the GLCM and the corresponding distance measure between the adjacent...
Fisheye cameras are widely used in various applications like surveillance, robotic vision, automobile rear-view imaging systems etc. But the images captured by fisheye lens are hemispherical and objects away from the center of image look curved due to lens distortion. Hence it is a challenge for an end user to interpret the data correctly from these images. The solution lies in digitally processing...
Population is always regarded as one of the most important driving forces of LUCC. Based on the needs of research on driving force of LUCC, impact factors of population distribution, land use system and registered permanent residence system of China, environmental limitation law of the minimum and theories of agricultural location, according to the idea of modeling separately by town and country,...
This paper presents an extension of image rectification methods for an arbitrary number of views with aligned camera center. This technique can be used for stereoscopic rendering to enhance the perception comfort or for depth from stereo. In this paper, we first expose that epipolar geometry is not suited to solve this problem. Then we propose a non linear method that includes all the images in the...
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...
Subtractive crosstalk cancelation is an effective way to reduce the appearance of ghosting in 3D displays. However, effective cancelation requires the black level of the input images to be raised above zero, which reduces the image contrast and visual quality. Previous methods for selecting the raised black level do not consider the image content; they are either based on the worst case or they do...
This paper aims to find out how ICT product upgrades influence customer satisfaction. It introduces a common method by which the Quarter Model is used to divide ICT product attributes into four sectors that will be treated differently, and then multiple linear regression model is utilized to analyze how much those attribute changes influence customer satisfaction. An empirical study on cell phone...
This paper presents a new block-based focusing technique for all in-focus light field rendering (LFR). In the proposed method, at first, synthesized images with different depths for a desired view point are obtained by the conventional light field rendering (LFR) method. The synthesized images contain both low and high frequency component artifacts in out-of-focused regions. After that, the proposed...
Pixel-level image fusion is widely used in many fields. We proposed a pixel-level image fusion algorithm based on particle swarm optimization with local search, that is, PSO-LS, which improves performance further. PSO-LS integrated the self-improvement mechanisms from memetic algorithms and can avoid local minimum in PSO. Experiments were carried out on two real world images. It is shown that fusion...
In this paper, a highly efficient pixel compensator architecture for the H.264/AVC standard is proposed which can provide both inter and intra prediction functions for luma and chroma components of pixels. By decomposing the algorithms used for both prediction methods into small micro-operation steps, a suitable common arithmetic unit architecture capable for performing these operations has been determined...
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...
Single sensor digital cameras capture one color value for every pixel location. The remaining two color channel values need to be estimated to obtain a complete color image. This process is called demosaicing or Color Filter Array (CFA) interpolation. We propose a directional approach to the CFA interpolation problem that makes use of multiscale color gradients. The relationship between color gradients...
The purpose of this article is to introduce the achievements reached with the Mojette Transform in recent years within our workgroup including from the simple description of the Mojette Transform and the Inverse Mojette Transform which originates form France to a theory of real time application. We introduced the benefits of the transform through its implementation in .Net environment. Describing...
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is introduced in this paper which overcomes the shortcomings of the conventional models easing the computation of the joint density function of images. As an application, this model is used to generate texture patterns. The lower...
In this paper we present the detailed calculations which a geolocation database would need to perform in order to derive location-specific maximum permitted emission levels for white space devices (WSDs) operating in digital terrestrial TV (DTT) bands. We introduce a novel methodology for the calculation of such emission levels, whereby the extent of protection afforded to the DTT service is specified...
This paper presents a real-time stereo algorithm that estimates scene depth information with high accuracy. Our algorithm consists of two novel components. First, we apply a modified two-pass aggregation to the adaptive cost aggregation process, use color similarity to calculate support weight, and introduce a credibility estimation mechanism to reduce accuracy loss during two-pass aggregation. Second,...
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