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双语推荐：色彩恢复

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历史建筑立面色彩再现一直存在争议。在2010~2012年海口骑楼历史街区最具代表性的中山路骑楼建筑立面修缮设计与施工过程中,尝试在保留历史沧桑与风采展示之间、历史保护理论与实践之间找到平衡。通过对历史材料进行分析与色彩沿袭鉴定,采用"恢复""保存"及"出新"3种手段,真实恢复了有历史依据的部分彩色灰塑,保留了代表中山路历史印记的20世纪50~60年代遗存,对窗户采用了保护与展示相结合的色彩再造。
It is always controversy how to restore original y coloured fa?ade. During the restoration and upgrading process of Zhongshan Road, which is one of best persevered historic streets in Haikou, Hainan Province, PR China, efforts were taken to restore original coloured lime plaster fa?ade and solid wooden window frames. Samples of historic materials were taken and their composition and original colours were studied in the laboratory and some of them implemented practical y. The upgrading remains and propaganda signs from 1950-1960’s were also preserved. Al the efforts were to implement the conservation theory into practice and to reach a balance between conservation of patina and restoration and renewal.

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结合北京市采石废弃地植被恢复工程建设实际,对采石迹地类型划分、采石迹地立地改造、生态恢复中植物品种的选择与色彩的搭配、生态景观序列的展开与景观节点的设计等内容进行研究,以期为北京市采石迹地生态恢复与景观构建提供参考。
Combined with the Beijing quarry restoration project,this paper studies the quarry types,quarry site transformation,plant species selection and color matching,restoration landscape series expansion and scenic spot design,with an aim to provide experiences for ecological restoration and landscape construc-tion of abandoned quarries in Beijing.

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针对自动色彩均衡（ ACE）算法不能很好地保持图像原始色彩信息，并且算法复杂度高较难满足实时性应用的缺点，提出双选像素点的局部自适应ACE算法。将获得的图像变换到YCbCr色彩空间中，有利于保持图像的原始色彩信息，利用亮度图像的梯度信息与图像局部的均值方差信息进行双层像素点选择，降低算法的运算复杂度，采用局部自适应滤波调整ACE算法中的亮度控制函数，增强图像的局部对比度。实验结果表明，与传统的ACE算法相比，色彩恢复多尺度Retinex算法MSRCR的视觉效果更好，运行速度提高约150倍，计算复杂度得到了明显改进。
An Automatic Color Equalization( ACE) algorithm based on double selective pixels and local adaptability is proposed in this paper to solve the problem that traditional ACE algorithm can’ t keep original color information,and it is difficult to meet the real-time application for its highly complexity. The proposed algorithm transforms the obtained image into the YCbCr color space to hold the original color information, and reduces the computation complexity of the algorithm through selecting pixels with the gradient information of intensity image and the local mean-variance information. The local contrast is enhanced because of using local adaptive filtering to adjust the brightness control function of ACE algorithm. Experimental results show that the improved algorithm gets a better result which satisfies the human visual properties compares with Multi-scale Retinex with Color Restoration ( MSRCR ) algorithm and traditional ACE algorithm. Computational complexity is greatly

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在彩色图像获取过程中，由于光照不均等原因导致采集的图像动态范围大，细节信息模糊。为此，提出了基于多色彩空间信息融合和同态滤波的彩色图像增强算法。首先，在RGB色彩空间上，分别对R、G、B分量进行同态滤波和自适应截取拉伸，消除光照影响，有效增强局部细节信息。然后，在 HSV色彩空间上，利用由构造的非线性变换函数处理后的V分量，进行光照补偿。并且利用原图像 H和S分量，恢复图像色彩信息。实验分析表明，本算法能够很好的压缩图像动态范围，增强亮暗区域的细节信息，并保持颜色的一致性。
In the process of color image acquisition , due to inhomogeneous illumination and other reasons , the collected images have features of large dynamic range and details blur .So this paper proposes a method for enhancing the color images based on information fusion of multi‐color space and homomorphic filters .First ,in RGB color space ,the three components are processed by using the homomorphic filtering and the adaptive clipping stretch methods respectively to eliminate illumination effect and enhance the local details effectively .Then ,in HSV color space ,the V component of modified by the nonlinear transformation function structured is used to make illumination compensation to the image .And the H and S component of the original image is used to restore the color information .The experimental results suggest that the proposed method shows better in the aspects of dynamic range compression ,enhancement of the detail of bright and dark areas and keeping the color consisten

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Retinex模型是人类视觉对亮度和色彩的感知模型,多尺度Retinex算法具有动态范围压缩大、色彩恒常性、色彩保真度高等特点,被广泛运用于低光照图像的增强。提出一种新的图像增强算法,首先用混合灰度变换函数替代传统的灰度变换函数,对图像做不同尺度的Retinex变换,并分解重复的频带信息,对各个独立的频带分别进行增强。然后引入图像融合的思想,将不同尺度Retinex图像的每个像素点都赋予不同的权重。最后得到输出图像。实验结果证明,本算法可有效增强图像的对比度,得到的图像清晰度高,色彩恢复好。
The Retinex model refers to human perception of lightness and color.The multi-scale Retinex( MSR) algo-rithm, which is high dynamic range, color constancy and high color fidelity, is widely used in low-light image enhance-ment.A novel multi-scale retinex method based on sub-band weighting fusion for image enhancement was proposed. First, hybrid intensity transfer function was used to have retinex outputs in different scales.Then the retinex outputs were decomposed into non-overlapping spectral sub-bands.Image enhancement was processed in each sub-band.Final, the resulted image was fused by weighting every point of each Retinex outputs.The experimental results show that the proposed algorithm effectively enhances the contrast of original image and achieve a visual-pleasing and color-vivid outputs.

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为了增强图像暗区域部分,基于人类视觉系统的全局和局部自适应调节原理,提出一种彩色图像增强方法。该方法主要包括全局自适应亮度调节、局部对比度增强和颜色恢复3个部分。全局亮度调节采用直方图非线性自适应拉伸来增强暗区域的亮度;局部对比度增强利用当前点与区域像素之间的关系,调节当前点的亮度,以增强图像局部对比度;通过一种自适应的非线性颜色恢复算法恢复图像色彩。通过大量图像对比实验分析表明,本文方法可以自适应有效快速地实现图像增强。
To enhance the dark areas of an image , a novel algorithm to enhance the color image based on global and local adapta -tion of the human visual regulation principles is proposed .The algorithm mainly consists of three parts:a preliminary global lumi-nance adjustment followed by local contrast enhancement and color restoration .The global luminance adjustment increases the lu-minance of darker pixels based on nonlinear adaptive histogram stretching .The local contrast enhancement adjusts the intensity of each pixel based on its relative magnitude , which is based on its correlation between relative magnitude and the output of its neighboring pixels .Then an adaptive nonlinear color restoration process is applied to convert the enhanced intensity image back to a color image.The contrast experimental results based on a large set of images indicate that , the proposed image enhancement al-gorithm is adaptive , effective and rapid .

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基于大气散射物理模型和暗原色先验原理,提出一种结合双区域滤波和图像融合的单幅图像去雾算法.首先在计算暗通道函数时,定义了一类暗区域对图像边缘的低强度像素点进行描述,该区域像素点的暗原色中值取其三原色通道的最小值,以代替原来的中值滤波运算值.此滤波方法不仅能有效去除Halo效应,而且避免了黑斑效应;然后基于大气散射物理模型定义一种伪去雾图,将其与原去雾图进行像素级融合对原图进行色度校正,实现了柔性去雾,改善了现有方法易出现过去雾的缺陷.实验结果表明,该算法去雾后图像具有较好清晰度及色彩恢复度,去雾鲁棒性强.在大雾和图像色彩失真严重的情况下,仍可有效恢复图像.
A dehazing method based on double-regional filter and image fusion is proposed based on the atmospheric scattering model and dark channel prior principle. Firstly, a dark region is defined to describe the low intensity pixel of the image0s edge area when the median filter is adopted to calculate the dark channel transmission. The minimum value of the color (RGB) channels are assigned to the dark channel in dark region pixels instead of its median. This method not only removes the halo effect but also avoids black spot. On the other hand, a pseudo-dehazed image based on the atmospheric scattering model is proposed to solve the over-defogging problem. The defect of over-defogging can be cut down by the pixels fusion between the original dehazed image and the pseudo-dehazed image. Experiments show that the dehazing images with the proposed method in this paper have better sharpness, color restore degrees and robustness, even on the dense fog and color distortion.

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针对现有Retinex算法中存在的色彩失真、噪声放大及光晕伪影现象等问题,本文提出了一种基于Retinex理论的改进算法.该算法首先在HSV空间对亮度分量V通道进行增强处理,同时在拉伸得到的对数域反射分量至一定的动态范围时(本文是0～255),引入增强调整因子,调整不同亮度值的增强程度来避免噪声放大及色彩失真现象;然后在RGB空间,通过分析光晕产生的原因,提出一种改进的高斯滤波器来消除光晕现象,并在计算反射分量时,通过参数调整图像颜色的保真度.最后,对上述两种不同颜色空间的处理结果进行加权平均作为算法的最终输出.实验结果表明,针对不同光照条件下的图像,1)该算法可以明显地改善光晕伪影现象;2)无色彩失真、噪声放大等问题;3)效果和效率优于带色彩恢复的多尺度Retinex算法(Multi-scale retinex with color restoration,MSRCR)及其他对比算法.
A fast image enhancement algorithm based on fusion of different color spaces is proposed to overcome the problems of color distortion, noise amplification, and halo artifacts. Firstly, a single scale retinex is used in channel V of the HSV color space. An enhancement adjustment factor is introduced, when we stretch the calculated reflection in the logarithmic domain into a dynamic range, i.e., 0～255. It is used to adjust the enhancement for different pixels. Thus noise amplification and color distortion can be effectively avoided. Then, the improved Gaussian filter is given in the RGB color space by analyzing the cause of the halo effect. This step can eliminate the halo artifact. And a parameter is adopted to keep the color natural of the image when the reflection is calculated. Finally, the weighted average of the outputs of the above two color spaces is taken as the final output of our algorithm. The experiment results show that for images with different lighting conditions, 1) the

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侯清麟《脚步声声》是一本具有自传体色彩的长篇小说，作者用纪实的手法、农家子弟的主观视角，还原了1978年高考恢复前后中国乡村社会的时代特征；以“青春记忆”为叙事脉络，完成了对角色主体性成长的描写与心路历程的刻画，生动呈现了78级大学生这一特殊群体的早期记忆。
Hou Qingling’s works Jiao Bu Sheng Sheng is a long novel with autobiography features.The writer’s documentary literary form and the plain subjective views from the husbandman restored the characteristics of China''s rural areas in 1978 when the policy of college entrance examination resumed.Taking “the memories of youth”as the main thread of narrative,the author completed the depiction of the protagonist''s journey which lead to his maturity and inward process which vividly presented the early memory of one generation who own the privilege to access university.

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康复器械的设计是在人机工程学运用人体测量学、生理学和生物力学以及色彩心理学等学科的基础上,密切联系康复医学,综合地进行人体结构、功能、心理以及力学问题的研究,从而设计出用户能发挥最大效果的机械、仪表和控制装置。文章以一款下肢力量恢复训练的康复器械为例,阐述了康复医学在康复器械中的应用。
In this paper, a lower limb strength training rehabilitation equipment as an example, expounds the application of rehabilitation medicine in the rehabilitation equipment.

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