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UT EE 381K - The Frequency-Domain Effects of Stochastic

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The Frequency-Domain Effects of Stochastic Image Foveation in Superpixelating CamerasReview – Motivation and ObjectiveNontrivial Translation of Control SignalMy Custom Methods – vasiHalftone, vasiHalftone2F&S Error DiffusionThe RestConclusionsReferencesThe Frequency-Domain The Frequency-Domain Effects of Stochastic Image Effects of Stochastic Image Foveation in Superpixelating Foveation in Superpixelating CamerasCamerasThayne CoffmanThayne CoffmanEE381K-14EE381K-14May 3, 2005May 3, 2005Review – Motivation and ObjectiveReview – Motivation and ObjectiveSuperpixellating (“VASI”) cameras Superpixellating (“VASI”) cameras Translation of desired resolution to Translation of desired resolution to control signal can be done by control signal can be done by halftoninghalftoningWhich halftoning method will give the Which halftoning method will give the best ATR performance?best ATR performance?Block error diffusionBlock error diffusionBlue noise ditheringBlue noise ditheringFloyd & Steinberg error diffusionFloyd & Steinberg error diffusionRaster scanRaster scanSerpentine scanSerpentine scanClassical screeningClassical screening9-level clustered dot9-level clustered dot9-level dispersed dot9-level dispersed dotWhite noiseWhite noiseA method of my own designA method of my own designvasiHalftone, vasiHalftone2vasiHalftone, vasiHalftone2Not exactly halftoning algorithmsNot exactly halftoning algorithms[McCarley et al, 2004][McCarley et al, 2004]Performance measured byPerformance measured byPSNRPSNRWSNRWSNRLDM (not a useful LDM (not a useful differentiator)differentiator)UQIUQINontrivial Translation of Control Nontrivial Translation of Control SignalSignalControl signal vs. realized bandwidthControl signal vs. realized bandwidthNontrivial relationship caused by the geometry of pixel sharing patternsNontrivial relationship caused by the geometry of pixel sharing patternsRequires customization (inverse function) of control signal for each Requires customization (inverse function) of control signal for each halftoning methodhalftoning methodStairstep patterns limit your control over actual realized bandwidthStairstep patterns limit your control over actual realized bandwidthDetails in paperDetails in paperMy Custom Methods – vasiHalftone, My Custom Methods – vasiHalftone, vasiHalftone2vasiHalftone2Semi-regularly spaced rectangles, size depends on desired bandwidthSemi-regularly spaced rectangles, size depends on desired bandwidthFor a given control signalFor a given control signalConsistently superior PSNR & WSNRConsistently superior PSNR & WSNRConsistently overshot desired bandwidth by ~30-100%Consistently overshot desired bandwidth by ~30-100%They were essentially cheating by using extra bandwidthThey were essentially cheating by using extra bandwidthAs currently designed, these methods have very poor bandwidth controlAs currently designed, these methods have very poor bandwidth controlOriginalOriginalSharing SignalSharing SignalResulting ImageResulting ImagePSNR = 13.3 dBPSNR = 13.3 dBWSNR = 16.9 WSNR = 16.9 dBdBDesired BW = Desired BW = 9.6%9.6%Actual BW = Actual BW = 18.8%18.8%Inflation = 97%Inflation = 97%F&S Error DiffusionF&S Error DiffusionGood performance and good bandwidth controlGood performance and good bandwidth controlGood SNR in ROIs means accurate ATRGood SNR in ROIs means accurate ATRGood SNR in non-ROIs means good target acquisitionGood SNR in non-ROIs means good target acquisitionGood bandwidth control means precise VASI frame rate Good bandwidth control means precise VASI frame rate controlcontrolOriginalOriginalSharing SignalSharing SignalResulting ImageResulting ImagePSNR = 17.5 dB (33.3 dB in ROI)PSNR = 17.5 dB (33.3 dB in ROI)WSNR = 16.4 dB (33.8 dB in ROI)WSNR = 16.4 dB (33.8 dB in ROI)Desired BW = 11.6%Desired BW = 11.6%Actual BW = 12.1%Actual BW = 12.1%Inflation = 4%Inflation = 4%The RestThe RestMethodMethodPerformance Performance (SNR)(SNR)Bandwidth controlBandwidth controlBlock error diffusionBlock error diffusionPoorPoorGoodGoodClassical screeningClassical screeningDecentDecentPoorPoorStochastic methodsStochastic methodsPoorPoorSuceptible to Suceptible to “catastrophic gray-“catastrophic gray-out”out”OriginalOriginalBlue noiseBlue noiseBlock error diffusionBlock error diffusionOriginalOriginalClustered dotClustered dotDispersed dotDispersed dotWhite noiseWhite noiseConclusionsConclusionsFloyd & Steinberg error diffusion gives the best results Floyd & Steinberg error diffusion gives the best results while still being able to control bandwidth preciselywhile still being able to control bandwidth preciselyvasiHalftone & vasiHalftone2 vasiHalftone & vasiHalftone2 Consistently the best PSNR, WSNRConsistently the best PSNR, WSNRPoor bandwidth control – overshot specifications by 30-100%Poor bandwidth control – overshot specifications by 30-100%Bandwidth inflation means it’s not a fair comparison (they’re Bandwidth inflation means it’s not a fair comparison (they’re cheating)cheating)Stochastic methods (white & blue noise) perform poorlyStochastic methods (white & blue noise) perform poorlyOutperformed by deterministic approachesOutperformed by deterministic approachesSusceptible to “catastrophic gray-out”Susceptible to “catastrophic gray-out”Classical screening performs marginally Classical screening performs marginally andand has bad bandwidth controlhas bad bandwidth controlReferencesReferencesP. McCarley, M. Massie, J.P. Curzan, “Large format P. McCarley, M. Massie, J.P. Curzan, “Large format variable spatial acuity superpixel imaging: visible and variable spatial acuity superpixel imaging: visible and infrared systems applications,” infrared systems applications,” Proc. SPIE, Infrared Proc. SPIE, Infrared Technology and Applications XXXTechnology and Applications XXX[sic.], vol. 5406, pp. [sic.], vol. 5406, pp. 361-369, Aug 2004.361-369, Aug 2004.V. Monga, N. Damera-Venkata, B. Evans, V. Monga, N. Damera-Venkata, B. Evans, Halftoning Toolbox for MatlabHalftoning Toolbox for Matlab.. Version 1.1 released Version 1.1 released November 7, 2002. Available online at November 7, 2002. Available online at http://http://www.ece.utexas.edu/~bevans/projects/halftoningwww.ece.utexas.edu/~bevans/projects/halftoning//.


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