Deblurring through water image by using Lucy-Richardson algorithm

Wei Shen Lo, Chi-Kuei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


There has important information for ecological restoration and flow control dredging to take the picture of underwater gravels. But it is difficult to take high quality pictures in shallow water. Since underwater camera is constrained by depth in shallow water (< 40 cm), and imaging affect by water waves above the water. In this research, the camera is set up above the water, and take the continuous picture through water wave. For reconstructing the distorted picture, each pixel can be averaged with number of pictures. The result is like simulating a long time exposure picture. But this method will lead to blur. Lucy-Richardson algorithm is a iterative method to deblur, and point spread function is the kernel for Lucy-Richardson algorithm. Point spread function can be found by setting a white broad which has a red dot in the middle in the water and observing the red dot distribution. The result is effective in reconstructing the distorted picture by water wave and deblurring the blurred picture by simulating the long time exposure picture, and can get higher quality pictures for underwater gravels in shallow water.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Number of pages6
Publication statusPublished - 2011
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 2011 Oct 32011 Oct 7


Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


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