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3D-IQA-master

于 2019-11-23 发布
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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

  • AdaBoost_TrainData
    这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。(This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a friend, you can download to study.)
    2020-09-13 10:27:58下载
    积分：1
  • strcturelvbonew
    利用数学形态学构成形态学滤波器对图象进行滤波,处理效果较满意.(using mathematical morphology constitute morphological filter image filtering, processing more satisfied with the results.)
    2020-11-12 10:59:43下载
    积分：1
  • RAT-Radar-Tools
    RAT，即Radar Tools，用IDL语言开发的雷达图像处理软件(v0.21新版本)，内含所有源代码。亲，学习雷达的、图像处理的、IDL的都可以学习一下哦！(RAT, namely Radar Tools, using IDL language development of the radar image processing software ( v0.21 version ), containing all the source code.Pro, learning radar, image processing, IDL can learn about oh!)
    2012-02-05 15:10:54下载
    积分：1
  • img_resample
    IDL中的批量重采样，可以省很多时间，根据自己的需求，采样成不同分辨率的图像。(IDL in batch resampling, you can save a lot of time, according to their needs, a different sampling resolution images.)
    2020-10-14 15:27:30下载
    积分：1
  • matlab_watermark
    数字水印参考代码，分别用checksum，lsb，patchwork等方式嵌入水印，并且附带计算信噪比和消除水印的代码(Digital watermark reference code checksum lsb in patchwork way embedded watermark and accompanying calculated signal-to-noise ratio and eliminate the watermark code)
    2020-11-15 19:09:41下载
    积分：1
  • Version 1.0
    这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervision + non supervision), object oriented feature extraction, ending ENVI)
    2017-09-25 19:41:55下载
    积分：1
  • GRAPPA
    说明：  快速磁共振成像领域的GRAPPA（generalized auto-calibrating partially parallel acquisitions）算法实现(GRAPPA realization in fast MRI)
    2020-05-11 10:09:07下载
    积分：1
  • background-separation
    基于灰度直方图的otsu（大津法）改进算法实现图片前景背景分离（matlab代码，实验报告）(Improved algorithm based on gray-scale histogram the otsu (Otsu method) background picture prospects separation (Matlab code, lab report))
    2012-12-06 16:59:25下载
    积分：1
  • 提取不同颜色
    说明：  对图像中不同的颜色进行提取，从而实现图像分割和不同颜色处理(Extracting different colors from images)
    2020-05-06 16:16:54下载
    积分：1
  • Target-detection-in-SAR
    合成孔径雷达图像目标检测资料，很有用的哦(Target detection in correlated SAR clutter)
    2011-05-23 16:26:53下载
    积分：1
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