The task of image coding is to improve the efficiency of visual communication channels. This entails minimizing the amount of data required to transmit the information about the radiance field. We assess this task in ...
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ISBN:
(纸本)081941543X
The task of image coding is to improve the efficiency of visual communication channels. This entails minimizing the amount of data required to transmit the information about the radiance field. We assess this task in the context of visual communication channel design including image gathering, coding, and Wiener restoration which results in channel designs with significantly improved performance. Conventional assessments are limited to the digital transmission channel beginning at the output of the image-gathering device and ending at the input to the image-display device. Our end-to-end assessment, in addition, incorporates these two devices. This assessment combines Shannon's communication theory with Wiener's restoration filter and with the critical design factors of the image gathering and display devices. This provides the metrics needed to quantify and optimize the end-to-end performance of the visual communication channel. The results are described.
We study the complementary behaviors of external and internal examples in image restoration, and are motivated to formulate a composite dictionary design framework. The composite dictionary consists of the global part...
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ISBN:
(纸本)9781467373142
We study the complementary behaviors of external and internal examples in image restoration, and are motivated to formulate a composite dictionary design framework. The composite dictionary consists of the global part learned from external examples, and the sample-specific part learned from internal examples. The dictionary atoms in both parts are further adaptively weighted to emphasize their model statistics. Experiments demonstrate that the joint utilization of external and internal examples leads to substantial improvements, with successful applications in image denoising and super resolution.
We propose an effective and efficient local decolorization method in this paper. It is an extension of the global decolorization method [6] which robustly reproduces visual appearance of a color image in the grayscale...
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ISBN:
(纸本)9781509028603
We propose an effective and efficient local decolorization method in this paper. It is an extension of the global decolorization method [6] which robustly reproduces visual appearance of a color image in the grayscale output. The improvement of the local extension is the effective preservation of the local color contrast which may diminish in the global method. Meanwhile the proposed local extension is efficient in that the computational complexity is O(1) for each pixel, which will be independent of the local kernel size. Quantitative evaluation among existing decolorization methods shows that our local extension performs favorable in both image quality and time cost. Meanwhile, our method can be extended into temporal domain for robust video decolorization.
View synthesis is dedicated to generating arbitrary views of the same scene from given inputs. As an alternative to depth-image-based rendering (DIBR), image warping based view synthesis approaches could automatically...
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ISBN:
(纸本)9781479961399
View synthesis is dedicated to generating arbitrary views of the same scene from given inputs. As an alternative to depth-image-based rendering (DIBR), image warping based view synthesis approaches could automatically generate visually plausible virtual views in real-time. Recognizing that existing techniques would lead to temporal incoherence and shape distortions in synthesized videos, this paper proposes a novel video warping algorithm which motion saliency map and global motion from reference views are incorporated into motion-aware constraints to maintain temporal coherence in virtual views. Furthermore, a salient curve based disparity constraint is imposed to prevent shape deformations and avoid possible artifacts. Extensive experiments are validated by visual comparison, which demonstrates that the proposed algorithm outperforms existing warping-based methods.
This paper address the problem of efficient, realtime estimation of the particulate mass concentration, exactly PM2.5 (particles with aerodynamic diameters less than 2.5 mu m) from a superb view image. And the propose...
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ISBN:
(纸本)9781479961399
This paper address the problem of efficient, realtime estimation of the particulate mass concentration, exactly PM2.5 (particles with aerodynamic diameters less than 2.5 mu m) from a superb view image. And the proposed method is to achieve high degree of accuracy at the cost of only modest user's effort by analyzing the relationship between the PM2.5 and the degradation of the observed image. With the fitting algorithm with experimental data, the PM2.5 could be real-time estimated by a general camera with little artificial participation, and the correlation coefficient produced by our data set and the standard observation will be as high as 0.8219, as the MSE (Mean Squared Error) value 51.2324 (mu g)/(3)(m).
Transform domain methods have dominated the watermarking field from its early stages. In these methods some coefficients are selected and modified according to certain rules. The two most important numbers in this pro...
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ISBN:
(纸本)0819450235
Transform domain methods have dominated the watermarking field from its early stages. In these methods some coefficients are selected and modified according to certain rules. The two most important numbers in this process are the length and the position of the watermark. These are usually heuristically chosen. In order to handle this problem, an adaptive scheme for the selection of the proper coefficients is analysed in the present communication.
Stereo vision is a technique used to recover depth from a stereo pair, which can be useful in many different domains (cartography, robotics, aerial navigation). A large amount of methods take as basic assumption that ...
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ISBN:
(纸本)9781424448562
Stereo vision is a technique used to recover depth from a stereo pair, which can be useful in many different domains (cartography, robotics, aerial navigation). A large amount of methods take as basic assumption that intensity of corresponding points in both images are equal. But the assumption is generally false, for the possible changes of luminance between the images of the stereo pair. Consequently, if we want to recover depth from a stereo pair precisely, it is useful to give them the same dynamic range and luminance first. This paper presents a novel algorithm based on adaptive midway image equalization (A-MIE). This proposed algorithm extends on the midway image equalization studied by Delon (2004). Our method allows every block of each image to adapt to its neighboring region, so that high contrast based on human visual system can be obtained for all locations and can modify the histogram of the image pair the same dynamic range. Both theoretical analysis and experimental results show that image histograms are closely matched after A-MIE, namely its effect on the support of the Fourier spectrum demonstrate the proposed algorithm is effective.
The risk of solitary death is rising because there is an increasing number of elderly living alone in Japan. Therefore, attempts are made to watch elderly remotely from his/her family. However, these systems have prob...
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ISBN:
(纸本)9781538644584
The risk of solitary death is rising because there is an increasing number of elderly living alone in Japan. Therefore, attempts are made to watch elderly remotely from his/her family. However, these systems have problems such as difficulty in confirming the status of the elderly in real time and privacy issues. In this paper, we propose a method to detect abnormal condition using infrared array sensor.
Increasing spatial image resolution is an often required, yet challenging task in image acquisition. Recently, it has been shown that it is possible to obtain a high resolution image by covering a low resolution senso...
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ISBN:
(纸本)9781479961399
Increasing spatial image resolution is an often required, yet challenging task in image acquisition. Recently, it has been shown that it is possible to obtain a high resolution image by covering a low resolution sensor with a non-regular sampling mask. Due to the masking, however, some pixel information in the resulting high resolution image is not available and has to be reconstructed by an efficient image reconstruction algorithm in order to get a fully reconstructed high resolution image. In this paper, the influence of different sampling masks with a reduced randomness of the non-regularity on the image reconstruction process is evaluated. Simulation results show that it is sufficient to use sampling masks that are non-regular only on a smaller scale. These sampling masks lead to a visually noticeable gain in PSNR compared to arbitrary chosen sampling masks which are non-regular over the whole image sensor size. At the same time, they simplify the manufacturing process and allow for efficient storage.
Indexing requirement for efficient accessing to visual data has been increased with the widespread use of multimedia applications. Satisfaction of this requirement mostly depends on the automatic extraction of objects...
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ISBN:
(纸本)9781479948741
Indexing requirement for efficient accessing to visual data has been increased with the widespread use of multimedia applications. Satisfaction of this requirement mostly depends on the automatic extraction of objects in the visual data. In this study, component-based object extraction method is compared with object extraction in its entirety. Applied method, implemented system and conducted tests are presented in this paper. Test results show that, even in the case of a good segmentation is achieved for whole object, object components are classified more successfully compared to whole object.
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