Design of a Tone Mapping Operator for High Dynamic Range Images based upon Psychophysical Evaluation and Preference Mapping |
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Design of a Tone Mapping Operator for High Dynamic Range Images based upon Psychophysical Evaluation and Preference Mapping
содержание презентации «Design of a Tone Mapping Operator for High Dynamic Range Images based upon Psychophysical Evaluation and Preference Mapping.ppt»| Сл | Текст | Сл | Текст |
| 1 | Design of a Tone Mapping Operator for | 15 | dimensional coordinates with independently |
| High Dynamic Range Images based upon | generated attribute ratings (naturalness, | ||
| Psychophysical Evaluation and Preference | detail and contrast reproduction) “Ideal” | ||
| Mapping. F. Drago1, W. Martens2, K. | preference point obtained through PREFMAP | ||
| Myszkowski3, and N. Chiba1 1Iwate | analysis. | ||
| University and 2Aizu University, Japan | 16 | Subject Preferences. T: Tumblin & | |
| 3Max-Planck-Institut f?r Informatik, | R. V: Ferwerda et al. H: Ward et al. Q: | ||
| Germany. | Schlick X: Retinex P: Reinhard et al. | ||
| 2 | Overview. Motivation Previous work | 17 | Retinex. We use the “Frankle-McCann |
| Psychophysical experiment Enhancements of | Retinex” algorithm | ||
| Retinex for HDR images Conclusions. | ratio-product-reset-average NP(x,y) new | ||
| 3 | Motivation. Many applications Lighting | pixel value is obtained from the original | |
| simulation and realistic rendering High | image R() and previous iteration image | ||
| Dynamic Range photography Multimedia: | OP() as follows: Reset test In each | ||
| distributing HDR video streams. | iteration (the number of iterations | ||
| 4 | HDR Photographs + Rendering: Real | predefined by the user) the distance D | |
| World Lighting. 1) Photographs of mirror | between pixels (x,y) and (xs,ys) is halved | ||
| sphere at varying exposure times. 3) Use | the direction for pixel comparison is | ||
| as light source in Monte Carlo radiosity | rotated 90o clockwise Main problem: | ||
| algorithm. 2) High-dynamic range | Suppressing halo effects. | ||
| environment map. Philippe Bekaert. | 18 | Retinex Extensions: for HDR. Main | |
| 5 | Goals. Technical requirement Match the | problem: Suppressing halo effects Adding | |
| dynamic range of image to the range | counterclockwise rotation of the path | ||
| available on a given display device | suggested by Coopers Spatially varying | ||
| Various objectives Get good perceptual | levels of pixel interaction based contrast | ||
| match between the real-world and | information Suggested by Sobol, but we use | ||
| corresponding images Reproducing details | a smooth function for clipping Adjusting a | ||
| Maximize reproducible contrast Just to get | reset ratio to the maximum luminance of | ||
| “nice-looking” images. | the display device instead of the maximum | ||
| 6 | Various Classifications. Theoretical | luminance of the scene. | |
| foundations Perception-based Pure image | 19 | Halo Reduction: Retinex Rotation. | |
| processing techniques Mapping function | Clockwise. CounterClockwise. Both Ways. | ||
| Global – the same for all pixels Local – | All images for 40 iterations. | ||
| depends on local image contents Temporal | 20 | Halo Reduction: Retinex Contrast Crop | |
| processing Static Dynamic. | with Bias. | ||
| 7 | Previous Work: Global Methods. | 21 | Halo Reduction: Retinex Contrast Crop |
| Perception-based Tumblin and Rushmeier | with Bias. Standard Retinex 33 iterations | ||
| (1993,1999) Brightness matching Ward | cw and ccw. The same settings but crop | ||
| (1994), Ferwerda et al. (1996) Contrast | with bias added. | ||
| matching (a linear function is used) Ward | 22 | Halo Reduction: Retinex Contrast Crop | |
| et al. (1997) Adjusting image histogram to | with Bias. 33 Retinex iterations. 33 | ||
| avoid exceeding display contrast in | Retinex iterations. | ||
| respect to the real-world scene | 23 | Halo Reduction: Retinex Contrast Crop | |
| Efficiency-driven Schlick (1994) Rational | with Bias. 4 Retinex iterations. 30 | ||
| functions. | Retinex iterations. | ||
| 8 | Examples. Ferwerda et al. Tumblin | 24 | Retinex Maximum Reset. Maximum = 226.5 |
| (1999) Ward et al. Schlick. | cd/m^2. Maximum = 100 cd/m^2. | ||
| 9 | Previous Work: Local Methods. Early | 25 | Linear mapping. Retinex 4 iterations. |
| methods – prone to halo artifacts Chiu et | Extended Retinex 4 iterations. Extended | ||
| al. (1993), Schlick (1994), Land (1971), | Retinex 4 iterations. | ||
| Jobson et al. (1997): Retinex Pattanaik et | 26 | Retinex + Tone Mapping Op. Ferwerda et | |
| al. (1998): The most comprehensive model | al. (1996). Logmap - new. | ||
| of HVS used in CG LCIS: Tumblin and Turk | 27 | Logmap Equation. | |
| (1999) Based on an anisotropic diffusion | 28 | Adaptive Logarithmic Mapping. | |
| procedure Emphasize on details but | Performance: Software 30 fps on PentiumIV, | ||
| compress excessively contrast New wave: | 2.2GHz Hardware ? | ||
| Fattal et al., Reinhard et al., Durand and | 29 | Conclusions. We performed | |
| Dorsey, Ashikhmin (2002). | psychophysical of seven existing tone | ||
| 10 | Examples. Tumblin and Turk. Ashikhmin. | mapping operators. More details in our | |
| Retinex. | TechRep: | ||
| 11 | Examples. Durand and Dorsey. Fattal et | http://data.mpi-sb.mpg.de/internet/reports | |
| al. Reinhard et al. | nsf/AG4NumberView?OpenView Good | ||
| 12 | Ashikhmin. Durand and Dorsey. Fattal | performance of Retinex in the experiment | |
| et al. Reinhard et al. | encouraged us extend it toward reducing | ||
| 13 | Psychophysical Experiment. Perceptual | hallo artifacts Addind a regular tone | |
| evaluation of subject preference by | mapping processing atop of Retinex results | ||
| pairwise comparison of tone mapped images | make the resulting images more independent | ||
| Seven tone mapping algorithms examined: | on the number of Retinex iterations and | ||
| Tumblin and Rushmeier (1993), Ferwerda et | improve the image naturalness Future work: | ||
| al. (1996), Ward et al. (1997), Schlick | repeating psychophysical with all recent | ||
| (1994), Retinex - based on Funt and Ciurea | local tone mapping operators and our | ||
| (2001) implementation but with our | extended Retinex. | ||
| extensions toward suppressing halo | 30 | Color Balance Correction. Retinex | |
| Reinhard et al. (2002) – photographic | Applied to All Channels in LMS Color | ||
| method Tumblin and Turk (1999) - LCIS Four | Space. | ||
| scenes considered. | 31 | Stanford Memorial Church Photograph. | |
| 14 | 32 | Stanford Memorial Church Photograph. | |
| 15 | Statistical Data Processing. 11 | 33 | Acknowledgments. We would like to |
| subjects participated Dissimilarity | thank Michael Ashikhmin, Paul Debevec, | ||
| ratings for pairwise comparisons of images | Fredo Durand, Dani Lischinski, Eric | ||
| submitted to Individual Differences | Reinhard, and Greg Ward for providing us | ||
| Scaling (INDSCAL) analysis Stimulus Space | with some images used in this | ||
| configures the stimuli such that Euclidian | presentation. We would like also to thank | ||
| distances between the stimuli match the | Greg Ward for his precious comments | ||
| obtained dissimilarity judgments Axes | concerning our work. | ||
| labeled based upon correlation of the | |||
| Design of a Tone Mapping Operator for High Dynamic Range Images based upon Psychophysical Evaluation and Preference Mapping.ppt | |||
Design of a Tone Mapping Operator for High Dynamic Range Images based upon Psychophysical Evaluation and Preference Mapping
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