# What Are the Types of Deconvolution?

I am totally new to image processing and wanted to ask you if you could confirm what I understood. It is about deconvolution:

From what I read we find 2 main types of deconvolution:

1. Analytical

   i.Linear : inverse filter, Wiener deconvolution..
ii. non linear : maximum  entropy  method , CLEAN algorithm..


2. numerical

Is this right ? If I need deconvolution for deblurring, how do I proceed to choose the right algorithm? Thank you in advance!

• Hi, Anything missing in my question? If not, could you please mark it? Thank You. – Royi Apr 16 at 9:27

I would say you can classify using the following main properties:

1. Blind Deconvolution.
2. Non Blind Deconvolution.

Then I'd follow:

• Linear Model.
• Time / Spatial Invariant Model.
• Time / Spatial Variant Model.
• Non Linear Model.
• Time / Spatial Invariant Model.
• Time / Spatial Variant Model.

I think those are the main properties of a Deconvolution Problem.
The hardest would be Blind Deconvolution with Non Linear Model of Variant Operator.