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101.
102.
103.
丁玉红 《数码设计:surface》2010,(2):127-129
在新时期倡导节能和环保的可持续性发展观的背景下,针对住宅建筑的经济性原则和高新技术的高成本问题,提出多管齐下、从低技术创新的角度来回应建筑的可持续性设计问题,实现生态住宅的可消费性。通过对早期生态住宅的典范——巴特罗公寓通风设计的研析,展示了低技术策略的创造性价值和非常规思路;同时通过重新审视自然通风这一传统技术的现实意义及其在现代生态住宅设计中的应用潜力,借鉴巴特罗公寓的创新启示,提倡在当代可持续性住宅设计中进一步拓展低技术思路。 相似文献
104.
本文运用生态学的理论和方法研究VB程序设计课堂中存在的问题,从多个角度对VB课堂进行深入探讨,力求从生态学的视角解读VB程序设计课堂,揭示其课堂中的失衡现象,进而构建VB程序设计生态课堂,将生态平衡的理念融入VB程序设计课堂教学中。 相似文献
105.
Roberto A. VázquezAuthor Vitae 《Neurocomputing》2011,74(17):2985-2997
Median associative memories (MED-AMs) are a special type of associative memory that substitutes the maximum and minimum operators of a morphological associative memory with the median operator. This associative model has been applied to restore grey scale images and provided a better performance than morphological associative memories when the patterns are altered with mixed noise. Despite their power, MED-AMs have not been adopted in problems related with true-colour patterns. In this paper, we describe how MED-AMs can be applied to problems involving true-colour patterns. Furthermore, a complete study of the behaviour of this associative model in the restoration of true-colour images is performed using a benchmark of 16,000 images altered by different noise types. 相似文献
106.
为了解决传统基于GBB方法的正则化二值图像复原算法放大背景噪声的问题,提出了一种基于GBB方法的改进的正则化二值图像复原算法。根据提出的算法进行实验,定性的对两种算法的图像复原结果进行了比较。同时,利用ISNR选取最佳参数,且在不同程度噪声的影响下定量的评价了两种复原方法的结果。实验结果表明,该方法对于模糊二值图像的复原效果有显著提升,有效降低了噪声对图像复原的影响。 相似文献
107.
108.
This paper focuses on recently advanced fuzzy models and the application of type-2 fuzzy sets in video deinterlacing. The final goal of the proposed deinterlacing algorithm is to exactly determine an unknown pixel value while preserving the edges and details of the image. To begin, we will discuss some artefacts of spatial, temporal, and spatio-temporal domain deinterlacing methods. In order to address the aforementioned issues, we adopted type-2 fuzzy sets concepts to design a weight evaluating approach. In the proposed method, the upper and lower fuzzy membership functions of the type-2 fuzzy logic filters are derived from the type-1 (or primary) fuzzy membership function. The weights from upper and lower membership functions are considered to be multiplied with the candidate deinterlaced pixels. Experimental results proved that the performance of the proposed method was superior, both objectively and subjectively to other different conventional deinterlacing methods. Moreover, the proposed method preserved the smoothness of the original image edges and produced a high-quality progressive image. 相似文献
109.
General Adaptive Neighborhood Choquet Image Filtering 总被引:1,自引:0,他引:1
A novel framework entitled General Adaptive Neighborhood Image Processing (GANIP) has been recently introduced in order to
propose an original image representation and mathematical structure for adaptive image processing and analysis. The central
idea is based on the key notion of adaptivity which is simultaneously associated with the analyzing scales, the spatial structures
and the intensity values of the image to be addressed. In this paper, the GANIP framework is briefly exposed and particularly
studied in the context of Choquet filtering (using fuzzy measures), which generalizes a large class of image filters. The
resulting spatially-adaptive operators are studied with respect to the general GANIP framework and illustrated in both the
biomedical and materials application areas. In addition, the proposed GAN-based filters are practically applied and compared
to several other denoising methods through experiments on image restoration, showing a high performance of the GAN-based Choquet
filters.
相似文献
Jean-Charles PinoliEmail: |
110.
Jean-François Aujol 《Journal of Mathematical Imaging and Vision》2009,34(3):307-327
This paper deals with first-order numerical schemes for image restoration. These schemes rely on a duality-based algorithm proposed in 1979 by Bermùdez and Moreno. This is an old and forgotten algorithm that is revealed wider than recent schemes (such as the Chambolle projection algorithm) and able to improve contemporary schemes. Total variation regularization and smoothed total variation regularization are investigated. Algorithms are presented for such regularizations in image restoration. We prove the convergence of all the proposed schemes. We illustrate our study with numerous numerical examples. We make some comparisons with a class of efficient algorithms (proved to be optimal among first-order numerical schemes) recently introduced by Y. Nesterov. 相似文献