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After Hours

Photos: Getting rid of camera wobble

By Bill Detwiler August 8, 2006, 8:55 PM PDT Bill Detwiler on Twitter billdetwiler

Image
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Photos: Getting rid of camera wobble

Rob Fergus

In the blurry original on the left, it’s hard to detect details such as the wood grain of the towel rack, or the towel’s nap, that are readilyrnapparent in the sharpened version. The box around the woman’s face shows the rectangle selected for the deblurring process. Too small a rectanglernlowers the result’s quality, but too large takes more time.

Rob Fergus
Photos: Getting rid of camera wobble

The deblurring technique alters color somewhat but clarifies many elements of this carving.

Photos: Getting rid of camera wobble

The deblurring method resolves details in feathers and a darker patch in the dark mask around the bird’s eye. However, the processed image also shows artifacts, visual echoes that look somewhat like ripples near sharp edges.

Photos: Getting rid of camera wobble

These pairs of images show close-ups of elements in original photos on the left, and the path of camera shake on the right. The shake path, called the blur kernel, is then used as the starting point for a process called deconvolution that can reverse some of the blur effects.

Photos: Getting rid of camera wobble

The deblurring algorithm helps even with relatively complicated images, such as this fountain.

Photos: Getting rid of camera wobble

The deblurring process can work well with text, which has plenty of high-contrast edges.

Photos: Getting rid of camera wobble

The deblurring process is complicated when there’s motion blur within the image (as in the case of this boy’s arm) as well as from the camera.

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By Bill Detwiler
Bill Detwiler is the Editor for Technical Content and Ecosystem at Celonis. He is the former Editor in Chief of TechRepublic and previous host of TechRepublic's Dynamic Developer podcast and Cracking Open, CNET and TechRepublic's popular online show.
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