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Using Script-Fu in the GNU Image Manipulation Program to Automate “Smart” Sharpening

Using Script-Fu in the GNU Image Manipulation Program to Automate “Smart” Sharpening. Benjamin Bucior <ben.bucior@gmail.com> Northwest Guilford High School, Greensboro, NC Summer Ventures in Science and Math Visual and Image Processing Rahman Tashakkori and Jere Miles

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Using Script-Fu in the GNU Image Manipulation Program to Automate “Smart” Sharpening

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  1. Using Script-Fu in the GNU Image Manipulation Program to Automate “Smart” Sharpening Benjamin Bucior <ben.bucior@gmail.com> Northwest Guilford High School, Greensboro, NC Summer Ventures in Science and Math Visual and Image Processing Rahman Tashakkori and Jere Miles Appalachian State University July 28, 2007

  2. Background/Objectives • Gimp- GNU Image Manipulation Program • Free, open-source, similar to Photoshop • Convolution matrices, Unsharp mask sharpening, “Smart” sharpening • Script-Fu, Scheme, Parenthesis • Goals: Compare methods of image sharpening, automate “smart” sharpening with Script-Fu

  3. Gimp and “Smart” Sharpening works in Windows, Linux, BSD, Solaris, and OS X

  4. Methods • Understand Script-Fu • Procedure Browser • Kate/Notepad++ • Common bugs: • gimp_image_new vs. gimp-image-new • (set! var car(value)) vs. (set! var (car (value))) • string_value vs. “string_value”

  5. “Smart” Sharpening • Duplicate image, extract Value channel from HSV • Create sharpening layer on original image using Value channel • Edge detect duplicate image, filter results • Add edge mask to sharpening layer • Unsharp mask on sharpening layer • Technique by Eric R. Jeschke, tutorial at http://gimpguru.org/Tutorials/SmartSharpening2/

  6. Results • Compare different sharpening techniques on an image, evaluate advantages/disadvantages • Original image, Convolution matrix, Unsharp mask, “Smart” sharpening • Photo of trellis at Boone Gardens

  7. Original Image

  8. Convolution Matrix

  9. Unsharp Mask

  10. “Smart” Sharpening

  11. Convolution Original Unsharp “Smart”

  12. Conclusions • “Smart” sharpening was best method • Unsharp masking second • Photos of plants • Anti-aliasing: “jaggies” • Script-Fu easy, could automate other common processes (5 days) • Tweaking parameters improves restoration • “Smart” sharpening ineffective on heavy blurring • Script could be improved

  13. Future Work • “Smart” sharpening script: • More options (guided process, more undo levels) • Allow script to batch process images • Determine better default parameters • Photo restoration: • Red-eye removal • Reduce image noise • Correct heavy blurring

  14. Acknowledgements • My parents: Andrew Bucior, Jr., and Barbara Bucior • My siblings: Andrew Bucior III, Matthew Bucior, Sarah Bucior, and Samuel Bucior • The Gimp Developers and Documentation Team • Eric R. Jeschke • http://portableapps.com/ (Gimp Portable) • Dr. Rahman Tashakkori and Jere Miles • Counselors at Summer Ventures • Ryan Belt and Allison Nelson

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