sharpening the blurred image edges without using direct commands .

i want to deblur an image by following method

step 1> obtain a blurred image

step 2> apply edge detection filters in 4 different orientations of the blurred image

step 3> Find the four output images processed from the edge detection filters

step 4>combine the output based on an L2 norm or Eucledians norm

Step 5>obtain the edge of the image hence using the above method

[Image Analyst]

I don't know how that can be achieved without using direct commands - it will require some code - unless you have an unusual definition of "direct commands". I also don't know what Step 3 is. Step 2 gives you some edge images and in step 4 you want to combine them, but what is step 3??? There is nothing to find - you already have them as a result of step 2. Likewise, how is step 5 different than step 4? Anyway, finding edges will not enhance edges unless you add them to the original image. You can do your whole algorithm in one single line with the conv2 filter and the appropriate kernel for certain types of edge filters (linear ones like the Laplacian but not non-linear ones like Canny).

[Walter Roberson]

Okay, go ahead. Let us know if you encounter a specific MATLAB question along the way.

[Walter Roberson]

I suspect "without direct commands" means that Max is not permitted to use the built-in blurring and edge detection routines.

[Max]

thank you allfor prompt response :)

okay in simple guide me from a basic thing

i want to sharp an image without using the commands like fspecial(unsharp,'parameters')

[Walter Roberson]

http://en.wikipedia.org/wiki/Unsharp_masking

http://www.cambridgeincolour.com/tutorials/image-sharpening.htm

[Max]

thanx walter......

the tutorials on hyperlink sent by you were really good. Now i am in search of some worked out problems in matlab on image sharpening without unsharp commands . i did not get any. i am trying from ground zero to start but not getting any help.