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Description
- 用于比较两张图片的相似性
- 评估失真图像的品质
Reference
- 结构相似性 - wikipedia
- Structural similarity - wikipedia
- The SSIM Index for Image Quality Assessment
- compare_ssim() - scikit-image
- structural_similarity() - scikit-image
- Image Quality Assessment: From Error Visibility to Structural Similarity
- Exact Histogram Specification Optimized for Structural Similarity
Brief
| 比较亮度 | ![]() |
|---|---|
| 比较对比度 | ![]() |
| 比较结构 | ![]() |
![]() |
x 的平均值 |
|---|---|
![]() |
y 的平均值 |
![]() |
x 的标准差 |
![]() |
y 的标准差 |
![]() |
x y 的协方差 |
使用
| 参数 | 值 |
|---|---|
| c1 | ![]() |
| k1 | ![]() |
| c2 | ![]() |
| k2 | ![]() |
| L | 像素值的动态范围,若为 8-bit 深度的图像, 则 L 值为 2^8-1=255 |
性质
| 对称性 | ![]() |
|---|---|
| 取值范围 | [-1, 1] , 当完全相同时为 1 |
完全相同时
scikit-image - compare_ssim() - structural_similarity()
compare_ssim()0.18 会被弃用 替换为structural_similarity()
skimage.measure.compare_ssim(X, Y, win_size=None, gradient=False, data_range=None, multichannel=False, gaussian_weights=False, full=False, **kwargs)
skimage.metrics.structural_similarity(im1, im2, *, win_size=None, gradient=False, data_range=None, multichannel=False, gaussian_weights=False, full=False, **kwargs)
发展
- CW-SSIM - complex wavelet SSIM - 复小波结构相似性
- SSIMplus
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