Larson, Greg Ward, Holly Rushmeier, Christine Piatko, "A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes," IEEE Transactions on Visualization and Computer Graphics, December 1997. Home/Search Document Details and Download
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High Dynamic Range Image Display Using Level Set Framework - Xu, Pattanaik (2003) (Correct)
.... and more popular and important in computer graphics research and applications [Deb97a] Debevec proposed a simple method to compose high dynamic range images from a series of common photographs with different exposures [Deb97a] High dynamic range images are a natural outcome of various renders [War97a]. However, the high dynamic range image also brings challenges for display, because the existing presentation devices, including CRT monitors, printers, liquid crystal display, have low dynamic ranges. A simple linear tone mapping will cause loss of much detail. So, advanced range compression ....
....is to separate the profile and the detail from the signal. Tumblin et al. [Tum99b] developed an LCIS based approach to carry out this separation. In this paper we propose a simpler approach based on level set method. 2. RELATED WORK A lot of work has been done on this topic over the past years [Ash02a, Dur02a, Fat02a, Pat98a, Rei02a, Rah96a, Sch94a, Tum99b, War97a]. For a detailed review, refer to [Dic01a, Rei02a] In this section we will restrict our discussion only to the work of [Tum99a] which is more relevant to our work. Tumblin s LCIS Based on the observation that artists are able to create very realistic painting starting with the profile of the ....
Ward, G. L., Rushmeier, H., and Piatko, C. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4), pp.291306, 1997. Appendix A The Matlab6.0 code of level set method for
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....including the PMOS current mirror, belong to the column circuit. 162 8. 5 Tone mapping of a high dynamic range image using histogram clipping (top left) gamma compression (top right) histogram equalisation (bottom left) and Larson et al. s method (bottom right) [5]. 164 List of Tables 1.1 The human eye versus silicon (and film) Numbers given are typical values, as of 1999, following Dierickx [6] 2 2.1 Possible binary operations on arrays where the operands and result have an order of zero, one or two. New operators are ....
....will ultimately need confirmation with experiment. 8.2.3 Tone mapping Once a high dynamic range image is captured, corrected for FPN and rendered into a standard colour space, a problem remains in terms of display. Standard displays are incapable of rendering more than two decades of illuminance [5]. A solution to this problem does not necessarily require a high dynamic range display although the development of such a display would enhance the sense of virtual reality. Rather, the high dynamic range image must be mapped to the low dynamic range display with a minimal loss of perceptual ....
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Gregory Ward Larson, Holly Rushmeier, and Christine Piatko, "A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes," IEEE Transactions on Visualization and Computer Graphics, vol. 3, no. 4, pp. 291--306, Oct.--Dec. 1997.
A Review of Tone Reproduction Techniques - Devlin (2002) (Correct)
.... Uniform Spatially Varying Time independent Time dependent Tumblin Rushmeier 1993 [41] Upstill 1985 [43] Miller et al. 1984 [22] Cohen et al. 2001 [6] Tumblin et al. 1999 [40] Scheel et al. 2000 [33] Ward Larson et al. 1997 [18] Ward 1994 [45] Oppenheim et al. 1968 [26] Stockham 1993 [38] Chiu et al. 1993 [5] Schlick 1994 [34] Jobson et al. 1997 [15] Pattanaik et al. 1998 [27] Tumblin Turk 1999 [42] Ashikhmin 2002 [2] Fattal et al. 2002 [9] Reinhard et al. 2002 [31] Durand Dorsey 2002 [8] ....
....the real world image and the display image. If the display luminance falls outside the range of the frame buffer then the frame buffer value is clamped to fit this range. This method is limited to greyscale and by the preservation of brightness at the expense of visibility in high dynamic scenes [18]. It has been noted that as the operator can handle extremes of brightness, some images tend to appear too dark but this may work in its favour if the analysis of extreme lighting conditions is required [19] Ward s model [45] dealt with the preservation of perceived contrast rather than ....
[Article contains additional citation context not shown here]
Gregory Ward Larson, Holly Rushmeier, and Christine Piatko. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4):291--306, October - December 1997. ISSN 1077-2626.
Image Acquisition Systems and Biological Vision: Common.. - Wandell, Gamal (Correct)
....dynamic range images is this: conventional displays do not have the capability to display such a dynamic range. To render the image shown in Figure 3, we compressed the data using a logarithmic transformation. More sophisticated algorithms have been explored, and more work on this topic is needed [94 96]. All electronic image sensors include temporary memory to support external transfer of image data from the pixels array. In CCD image sensors, the temporary memory is in the form of analog shift registers (vertical and horizontal CCDs) In CMOS image sensors with analog pixels [97, 98] the ....
G. W. Larson, H. Rushmeier, and C. Piatko, "A visibility matching tone reproduction operator for high dynamic range scenes," IEEE Transactions on Visualization and Computer Graphics, vol. 3, pp. 291-306, 1997.
Common Principles of Image Acquisition Systems and.. - Wandell, Gamal, Girod (2002) (Correct)
....dynamic range images is this: conventional displays do not have the capability to display such a dynamic range. To render the image shown in Fig. 4(d) we compressed the data using a logarithmic transformation. More sophisticated algorithms have been explored and more work on this topic is needed [98] [100] All electronic image sensors include temporary memory to support external transfer of image data from the pixels array. In CCD image sensors, the temporary memory is in the form of analog shift registers (vertical and horizontal CCDs) In CMOS image sensors with analog pixels [101] ....
G. W. Larson, H. Rushmeier, and C. Piatko, "A visibility matching tone reproduction operator for high dynamic range scenes," IEEE Trans. Visual. Comput. Graphics, vol. 3, pp. 291--306, Oct.--Dec. 1997.
Real-Time High-Dynamic Range Texture Mapping - Cohen, Tchou, Hawkins, Debevec (2001) (2 citations) (Correct)
....digital cameras as demonstrated in [4] We use HDR images acquired with this technique in this paper. Displaying HDR images on low dynamic range (LDR) devices such as video monitors and has been studied in the context of tone reproduction [29] 10] performed this process through quantization, [16] through histogram adjustment, and [30] through a form of anisotropic diffusion. 21] modeled the effect of visual adaptation in viewing high dynamic range images, and later work [22] modeled global time dependent effects. 30] discussed a foveal display program in which the exposure of a ....
LARSON,G.W.,RUSHMEIER, H., AND PIATKO, C. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3, 4 (October - December 1997), 291--306.
How do Humans Determine Reflectance Properties under.. - Fleming, Dror, Adelson (2001) (Correct)
....The monitor was calibrated to ensure linearity before every session of the experiment. Third, we applied synthetic glare to the rendered images in order to mimic the optical effects of viewing high luminances with the human eye. This was done according to specifications derived by Ward et al. [12] from empirical measurements of the optical properties of the eye. This process simulates the glare that would be experienced had the brightest points in the images really been shown at their correct luminances. The process has little effect except for bright point sources. Procedure. Each ....
G. Ward Larson, H. Rushmeier, and C. Piatko. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3, 1997.
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Greg Larson, Holly Rushmeier, Christine Piatko, "A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes," IEEE Transactions on Visualization and Computer Graphics, 3, 4, (1997).
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Greg Larson, Holly Rushmeier, Christine Piatko, "A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes," IEEE Transactions on Visualization and Computer Graphics, 3, 4, (1997).
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G. W. Larson, H. Rushmeier, and C. Piatko. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4):291--306, /1997.
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Gregory Ward Larson, Holly Rushmeier, and Christine Piatko. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans. Visual. Comput. Graphics, 3(4):291--306, 1997.
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LARSON, G. W., RUSHMEIER, H., AND PIATKO, C. 1997. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans. on Visualization and Computer Graphics 3, 4, 291--306.
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Larson, G. W., Rushmeier, H., Piatko, C., "A visibility matching tone reproduction operator for high dynamic range scenes", IEEE Trans. on Visualization and Computer Graphics, 3, 4 (1997), pp. 291-306.
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G. W. Larson, H. Rushmeier, and C. Piatko, "A visibility matching tone reproduction operator for high dynamic range scenes," IEEE Trans. Visual. Comput. Graphics, vol. 3, no. 4, pp. 291--306, Oct.--Dec. 1997.
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LARSON, G. W., RUSHMEIER, H., AND PIATKO, C. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans. on Visualization and Computer Graphics 3, 4 (Oc. - Dec. 1997), 291--306.
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Gregory Ward Larson, Holly Rushmeier, and Christine Piatko. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4):291-- 306, October - December 1997. ISSN 1077-2626. 10, 11, 12, 15
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Gregory Ward Larson, Holly Rushmeier, and Christine Piatko. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4):291--306, 1997.
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