On the Use of Lee's Protocol for Speckle-Reducing Techniques
This work addresses methodological issues in speckle noise reduction for image processing applications, but it is incremental as it builds on existing protocols and filters.
The paper tackled inconsistencies in Lee's protocol for evaluating speckle noise reduction filters by proposing a Monte Carlo extension and two new MAP filters, showing that the original protocol leads to inconsistencies and providing solutions for consistent filter comparisons.
This paper presents two new MAP (Maximum a Posteriori) filters for speckle noise reduction and a Monte Carlo procedure for the assessment of their performance. In order to quantitatively evaluate the results obtained using these new filters, with respect to classical ones, a Monte Carlo extension of Lee's protocol is proposed. This extension of the protocol shows that its original version leads to inconsistencies that hamper its use as a general procedure for filter assessment. Some solutions for these inconsistencies are proposed, and a consistent comparison of speckle-reducing filters is provided.