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3D-IQA-master

于 2019-11-23 发布
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下载积分: 1 下载次数: 5
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代码说明：

说明：  关于立体图像质量评价的论文和一些工程实现代码。(Papers on stereo image quality evaluation and some engineering implementation code.)

文件列表：

3D-IQA-master\Experiment\divine_feature_extract.m, 2425 , 2017-06-30
3D-IQA-master\Experiment\edge.m, 874 , 2017-06-30
3D-IQA-master\Experiment\mj_stereo_SSIM.m, 5025 , 2017-06-30
3D-IQA-master\Experiment\qilv.m, 2309 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\example.m, 166 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\feature_extract.m, 861 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\fecal.m, 169 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\secal.m, 51 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\setscale.m, 160 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\SSEQ.m, 119 , 2017-06-30
3D-IQA-master\Experiment\SSEQ\SSQA_by_f.m, 354 , 2017-06-30
3D-IQA-master\Experiment\wavelet\fusion.m, 738 , 2017-06-30
3D-IQA-master\Experiment\wavelet\saliency_SR.m, 828 , 2017-06-30
3D-IQA-master\Experiment\wavelet\wavelet.m, 1902 , 2017-06-30
3D-IQA-master\Experiment\wavelet\wavelet1.m, 2969 , 2017-06-30
3D-IQA-master\Experiment\wavelet\wavelet2.m, 1337 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\ExtractGaborResponse.m, 1631 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\MJ3DQA.m, 2527 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\mj_computeDispCompIm.m, 531 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\mj_GenMergeWEntropy.m, 505 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\mj_stereo_SSIM.m, 5025 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\msssim.m, 2319 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\ssim.m, 6372 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\ssim_index_new.m, 2439 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR\test_live_phase.m, 2169 , 2017-06-30
3D-IQA-master\FR-3D-IQA\Stereoscopic Image Quality Assessment by Analyzing Depth and Local Texture Information.pdf, 387136 , 2017-06-30
3D-IQA-master\NR-3D-IQA\analysisLIVE3D1.m, 4719 , 2017-06-30
3D-IQA-master\NR-3D-IQA\analysisLIVE3D2.m, 5692 , 2017-06-30
3D-IQA-master\NR-3D-IQA\brisque_feature.m, 847 , 2017-06-30
3D-IQA-master\NR-3D-IQA\estimateggdparam.m, 689 , 2017-06-30
3D-IQA-master\NR-3D-IQA\feature_extract.m, 1174 , 2017-06-30
3D-IQA-master\NR-3D-IQA\findCorrelation.m, 458 , 2017-06-30
3D-IQA-master\NR-3D-IQA\logistic5.m, 119 , 2017-06-30
3D-IQA-master\NR-3D-IQA\mj_stereo_SSIM.m, 5025 , 2017-06-30
3D-IQA-master\NR-3D-IQA\No-reference Stereoscopic Image Quality Assessment with Saliency-guided Binocular Feature Consolidation.pdf, 407140 , 2017-06-30
3D-IQA-master\NR-3D-IQA\saliency_SR.m, 949 , 2017-06-30
3D-IQA-master\NR-3D-IQA\stereo_NR.m, 2601 , 2017-06-30
3D-IQA-master\NR-3D-IQA\VarInformation.m, 481 , 2017-06-30
3D-IQA-master\README.md, 673 , 2017-06-30
3D-IQA-master\Visual comfort assessment\compute_disparity.m, 1833 , 2017-06-30
3D-IQA-master\Visual comfort assessment\compute_edge.m, 1754 , 2017-06-30
3D-IQA-master\Visual comfort assessment\feature_extract3.m, 1188 , 2017-06-30
3D-IQA-master\Visual comfort assessment\FGr.m, 1146 , 2017-06-30
3D-IQA-master\Visual comfort assessment\frequency_domain.m, 1401 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\compute.m, 211 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\get4orient.m, 505 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\geteqdis.m, 289 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\getgbvsmap.m, 239 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\getmarkovtrans.m, 453 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\Gscale.m, 1306 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\myGBVS.m, 1410 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs\normgbvs.m, 461 , 2017-06-30
3D-IQA-master\Visual comfort assessment\README.md, 318 , 2017-06-30
3D-IQA-master\Visual comfort assessment\VISUAL COMFORT ASSESSMENT.pdf, 513391 , 2017-06-30
3D-IQA-master\Visual comfort assessment\visualComfort_feature.m, 1226 , 2017-06-30
3D-IQA-master\Visual comfort assessment\visual_stereo_NR.m, 1824 , 2017-06-30
3D-IQA-master\Experiment\SSEQ, 0 , 2017-06-30
3D-IQA-master\Experiment\wavelet, 0 , 2017-06-30
3D-IQA-master\FR-3D-IQA\code_for_FR, 0 , 2017-06-30
3D-IQA-master\Visual comfort assessment\gbvs, 0 , 2017-06-30
3D-IQA-master\Experiment, 0 , 2017-06-30
3D-IQA-master\FR-3D-IQA, 0 , 2017-06-30
3D-IQA-master\NR-3D-IQA, 0 , 2017-06-30
3D-IQA-master\Visual comfort assessment, 0 , 2017-06-30
3D-IQA-master, 0 , 2017-06-30

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发表评论

0 个回复

  • SAR-autofocus-using-semidefine
    这个是用于合成孔径雷达图像自聚焦的算法，易于实验，具有良好的效果。适合入门者。(this is a algorithm used for SAR image autofocus. this method is very simple and easy to realize and is suitable for beginner. )
    2014-09-09 10:52:00下载
    积分：1
  • renlianshibie-(2)
    基于模板匹配的另一种人脸识别的算法，很实用，利用肤色建模来建立人脸皮肤模型(Another based on template matching algorithm for face recognition, very practical, using skin color modeling to create a human face skin model)
    2020-06-27 10:00:02下载
    积分：1
  • enhance
    图像增强图像增强 对比度增强 视觉增强对比度增强 视觉增强(image Enhanceme)
    2010-05-21 11:26:34下载
    积分：1
  • 5
    说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)
    2010-01-10 10:35:10下载
    积分：1
  • compute rmse
    用于计算两幅图片之间的峰值信噪比，从而衡量图片重建质量(It used to calculate the peak signal to noise ratio between the two pictures, which measure the quality of the reconstructed image)
    2016-05-29 20:35:26下载
    积分：1
  • MATLAB车牌识别[算法对比，GUI]
    说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)
    2020-08-06 23:31:08下载
    积分：1
  • miyao
    本文提出了基于二维混沌映射的数字图像水印算法，混沌具有随机性、似噪声及对初始条件的极端敏感性等特点。将经过二维混沌映射置乱后的数字水印信号嵌入图像小波域的低频系数，实现了数字水印的隐蔽性、保密性和稳固性；利用二维混沌映射Arnold变换对水印信号进行置乱，不仅增强了水印信号保密性，同时有效提高了视觉上抵抗图像剪切攻击的能力。(In this paper, two-dimensional chaotic map based on digital image watermarking algorithm, Chaos with random noise and the likelihood of extreme sensitivity to initial conditions and so on. Two-dimensional chaotic map will be scrambling after the digital watermark embedded image signal of the low-frequency coefficients in wavelet domain, the realization of a digital watermark hidden, security and stability the use of two-dimensional chaotic map on Arnold transform scrambling watermark signal, not only enhances the confidentiality of the watermark signal at the same time improve the visual image shear resistance attacks.)
    2009-06-28 10:11:45下载
    积分：1
  • rotate
    说明：  matlab程序，用于实现对给定图像做的任意角度旋转(rotate a picture by any angle)
    2009-08-05 10:03:18下载
    积分：1
  • cat-swarm-optimizaiton_
    猫群算法在图像分类中的应用。猫群算法是一种比较新的算法，目前研究和使用的并不多。(The cats swarm optimization in image classification. Cat swarm optimization is a relatively new algorithm, not much research and use.)
    2012-10-16 11:36:30下载
    积分：1
  • mohu_img_enhance
    模糊集图像增强：设计隶属度函数将图像从空间域变换到模糊集域；设计模糊增强算子，在模糊集域对图像进行处理；根据隶属度函数重新将图像从模糊集域变换到空间域。(Fuzzy image enhancement: Designing the membership function of the image from the spatial domain to the fuzzy set domain design fuzzy enhancement operator in fuzzy set domain for image processing membership function according to re-image from the fuzzy set domain to the spatial domain .)
    2021-01-26 23:18:41下载
    积分：1
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