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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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0 个回复

  • Arnold
    针对 Anrlod 变换的周期依赖于图像的阶数这一特性, 提出了一种反变换算法 。 该算法 通过分析加密图像任一点处两坐标分量间关系, 得到原图像相应点的坐标 , 从而实现图像的解密。(In view of the characteristic that the Anrlod transform cycle depends on the order of the image, an inverse transformation algorithm is proposed. The algorithm obtains the coordinates of the corresponding points of the original image by analyzing the relationship between the two coordinate components at any point of the encrypted image, so as to achieve the decryption of the image.)
    2018-04-06 15:27:43下载
    积分：1
  • 国际标准测试图像
    经典的图像处理常用图片，包括Lina，Barbana, Cameraman(Classic image processing commonly used pictures, including Lina, Barbana, Cameraman)
    2021-01-12 10:18:49下载
    积分：1
  • meanshiftsegmentation
    说明：  均值漂移图像分割测试程序,使用meanshift算法对彩色图像进行聚类分割，效果很好，并且显示使用时间、找到的类数，另包含RGB与LUV颜色空间的互相转换，图片矩阵数据转为降维数组等，程序中有详尽的注释和说明，并且配有测试结果图片，非常适合计算机视觉、机器学习、模式识别的朋友参考(failed to translate)
    2011-02-21 15:17:51下载
    积分：1
  • Image-Fusion
    泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)
    2015-04-21 12:11:50下载
    积分：1
  • 基于MATLAB的汽车轨道偏离预警系统
    此demo演示的是一个能够检测并跟踪道路上的标记线并且在适当时机发出报警的系统，此系统可使汽车在行驶过程中能够避免偏离车道。系统由一台摄像机，一台计算机，以及一个扬声器组成，摄像机采集视频信息交由计算机处理，根据处理结果控制扬声器是否报警。(This demo demonstrates a system that detects and tracks the marking lines on the road and sends out the alarm at the right time, which enables the car to avoid deviating from the driveway during the driving process. The system is composed of a camera, a computer, and a loudspeaker. The video information is processed by the camera to control the alarm of the speaker according to the processing results.)
    2020-06-28 17:00:01下载
    积分：1
  • 1335492_QRcode
    简单的介绍了基于matlab的QR码的识别，包括图像的预处理，图像定位，图像的识别等(This paper briefly introduces the recognition of QR code based on matlab, including image preprocessing, image positioning, image recognition and so on.)
    2019-04-19 17:04:13下载
    积分：1
  • matlab回归法做图像变化
    matlab回归法做图像变化检测。有图片有结果，有论文说明，可参照使用(Matlab regression method for image change detection. There are pictures of the results, there are papers, can refer to use)
    2017-10-25 17:39:39下载
    积分：1
  • Inpainting
    图像修复程序，专门用于去除图片中大的物体。去除后的图像裂缝通过基于用户手动得到的掩模进行填充。(This project involved removing large objects from images. From a user-specified mask, small patches were duplicated until all remaining gaps were filled. )
    2012-08-15 09:15:51下载
    积分：1
  • NCC
    说明：  采用积分图算法的归一化互相关匹配，大大减少了计算时间。(Normalized cross correlation matching)
    2020-04-09 14:08:09下载
    积分：1
  • shuzishuiyinzongshu
    ：数字水印将感觉不到的信号嵌入到声频、视频和图像中以实现不同的目的。例如: 添加标题和版权保护。首先介绍 了有关数字水印的基本原理、重要属性及其主体框架。然后,将数字水印按不同角度划分为不同种类。讨论了各种各样的数 字水印算法以及数字水印在不同领域的应用,并简要介绍了对数字水印的攻击。最后,给出了数字水印当前的研究现状和发 展形式及前景。(: Digital watermark embedding imperceptible signals to the audio, video and images to achieve different purposes. Example: Add a title and copyright protection. Firstly, the basic principle about digital watermarking, and the main framework of the important attributes. Then, the digital watermark according to different angles into different types. Discussed a wide range of digital watermarking algorithms and digital watermarking applications in different fields, and a brief introduction of the digital watermarking attacks. Finally, the digital watermark of the current situation and development in the form of research and prospects.)
    2015-03-18 16:12:36下载
    积分：1
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