wangyanckxx / Single-Underwater-Image-Enhancement-and-Color-Restoration

Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"

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Red images in ULAP results

GioFic95 opened this issue · comments

Hello, I tried to run your implementation of the ULAP method, but most of the resulting images are completely red.

In the attached images you can see original images from TrashCan dataset and resulting images produced with ULAP.

Since in your paper you write "The best restoration images are produced by IBLA and ULAP", I suppose there is something wrong with my output. Other methods such as IBLA seems to work correctly with my input images. Do you have any suggestions on how to solve this problem?
Thank you in advance.

Original images:
image

ULAP results:
image

Hello, I would like to ask why there are no processed images in the Outputimages folder after my program runs. Is it that I created the wrong path?
image

Hello, I would like to ask why there are no processed images in the Outputimages folder after my program runs. Is it that I created the wrong path? image
你要在main函数中改一下存放的路径,cv.imwrite里面的参数要改

commented

Hello, I tried to run your implementation of the ULAP method, but most of the resulting images are completely red.

In the attached images you can see original images from TrashCan dataset and resulting images produced with ULAP.

Since in your paper you write "The best restoration images are produced by IBLA and ULAP", I suppose there is something wrong with my output. Other methods such as IBLA seems to work correctly with my input images. Do you have any suggestions on how to solve this problem? Thank you in advance.

Original images: image

ULAP results: image

Yes,I got the same problem as you when I was using GBdehazingRCorrection. Have you solved it? If yes, could you give me some advise like using which method?