Research Article
An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images
Algorithm 1
Adaptive iteration algorithm.
| Input: Denoised images at every iteration step of (3). | | Comments: Referring (3). | | (1) The differences between denoised output images at every iteration step is found out. | | | | (2) The difference between the maximum and minimum of the difference matrix found out in | | Step () is computed at every iteration step. | | | | (3) Steps () and () are continued until the condition shown below is met. | | | | (4) Once the condition in Step () is met the execution is stopped which in turn stops the | | number of iteration thereby making it adaptive. | | (5) Display the number of iteration thus encountered and exit. |
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