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Title |
Comparison of Filters used for Underwater Image Pre-Processing |
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Author |
G.Padmavathi, P.Subashini, M.Muthu Kumar, Suresh Kumar Thakur |
| Citation |
Vol. 10 No. 1 pp. 58-65 |
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Abstract |
Underwater image pre-processing is absolutely necessary due to the quality of images captured under water. Basically, under water images suffer from quality degradation due to transmission of limited range of light, low contrast and blurred image due to quality of light and diminishing color. When an underwater image is captured, pre-processing is necessarily done to correct and adjust the image for further study and processing. Different filtering techniques are available in the literature for pre-processing of under water images. The filters used normally improve the image quality, suppress the noise, preserves the edges in an image, enhance and smoothen the image. Therefore an attempt has been made to compare and evaluate the performance of three famous filters namely, homomorphic filter, anisotropic diffusion and wavelet denoising by average filter used for under water image pre-processing. Out of the three filters, wavelet denoising by average filter gives desirable results in terms of Mean Square Error and Peak Signal to Noise Ratio. However the elapsed time of the three filters is also studied to identify the suitable filters that process the image quickly by preserving the image quality. |
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Keywords |
Image processing, denoising, color enhancement, homomorphic filters, SRAD filtering, wavelet denoising, Mean Square Error , Peak Signal to Noise Ratio and elapsed time |
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