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A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation
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DOI：10.1109/LSP.2012.2199980.png)
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摘要
En 中文
In this letter, we present a simple, yet effective wavelet-based algorithm for estimating both global and local image sharpness (FISH, Fast Image Sharpness). FISH operates by first decomposing the input image via a three-level separable discrete wavelet transform (DWT). Next, the log-energies of the DWT subbands are computed. Finally, a scalar index corresponding to the image's overall sharpness is computed via a weighted average of these log-energies. Testing on several image databases demonstrates that, despite its simplicity, FISH is competitive with the currently best-performing techniques both for sharpness estimation and for no-reference image quality assessment.
Keyword:
Blur
image quality
local image sharpness
sharpness
wavelet
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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