SSIM = (2μr + C1)(2σxy + C2) / (μr^2 + μx^2 + μy^2 + C1)(σx^2 + σy^2 + C2)其中，MSSIM（Mean SSIM）采用滑动窗口方法，通过调整窗口大小和高斯核权重，为整体图像提供更准确的评估。3. 多尺度结构相似性 - MS-SSIMMS-SSIM超越了单一尺度，考虑了图像在不同分辨率...
A MS-SSIM score helps to analyze how much a De-warping module has been able to de-warp a document image from its initial distorted view. 相关学科:SSIMImage CompressionOctave ConvolutionAuxiliary ClassifierImage Quality AssessmentVideo CompressionACGANTransposed convolutionInverse Tone MappingVideo Quality...
The Structural Similarity Index (SSIM) is generally considered to be a milestone in the recent history of Image Quality Assessment (IQA). It would be nice to see in-build SSIM/MS-SSIM function in pytorch. cc @fmassa @vfdev-5
MS-SSIM_L1_LOSS Pytorch implementation of MS-SSIM L1 Loss function for image restoration. How to use import this .py file into your project. from MS_SSIM_L1_loss import MS_SSIM_L1_LOSS criterion = MS_SSIM_L1_LOSS() # your pytorch tensor x, y with [B, C, H, W] dimension on cud...