Automated Preflight and Photo Toning Wednesday, September 19, 2007 Kansas City, Missouri Joe McKinnon – Cox Ohio Publishing Image toning system – BluMunKee
Cox Ohio Situation Analysis Complexity –4 Daily Newspapers –5 Weekly Newspapers –4,200 images per week –Multiple image workflows Doing the wrong things right –Photographers toning editorial images –Advertising personnel toning images –Dedicated personnel toning images
Cox Ohio Situation Analysis Inconsistent Photo Toning –Over 80 individuals handling images –Another 20 or so photographers –At least 5 different geographic locations –Monitor calibration –Several versions of Photoshop –Variety of Photoshop knowledge Keyless Press
Project Goals Automation Reliability Cost Ease of use Vendor Support
Color Correction Systems Photoshop Asura BluMunKee BluMunKee PDF workflow
Equipment Installation Date –December 2002 Hardware –2 Xservers primary and backup –2 G5 Mac Pro Towers primary and backup –3 G5 Mac Pro Towers, (QC stations) –1 G5 Mac Pro Tower, (PDF workflow) –1 G5 Mac Pro Tower, (PDF QC station) Software –BluMunKee Image Lightning, and Image Thunder –Adobe Photoshop CS2 –FileMaker Pro 7 –Mac OS X and Mac OS X Server
What factors influenced our decision Existing relationship with Avail Technologies On site support and development – in-house expertise The ability to Beta test onsite Cost
How Coxohio Utilizes Photo Correction Software Fully automated editorial workflow –Photographers touch-up photo –Name the photo and drop it into SCC photo archive –All editorial photos are sent through the BluMunKee servers, automatically processed, and sent to the DTI data base
How Coxohio Utilizes Photo Correction Software Operator Assisted Advertising Workflow –Artists drop photos into one of several “drop folders.” separate folders –Photos are routed to a QC workstation where an operator will crop and submit the photo to BluMunKee for correction –Photo comes back to operator, who releases it to DTI
What Do We Use BluMunKee for? Color Correction Sharpening Total Ink Limit Transfer curve Photo Correction of PDF files
Realized Savings/Improvements Reduced staffing Consistent Quality Control over the process
Real World Performance Positives Totally automated on the Editorial side Still work to be done on the Advertising side Solid vendor support Reliable Ease of use Individual drop folders Reporting
Real World Performance Not-so Positives Still need work automating Advertising Does not handle bad images well Errors are not handled well Limited tools to fix challenging photos
Questions