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video file that contains a combination of lighter and darker images, you will find that the overall results are horrible. As you color correct, you will want to carefully split the video layer into sections that consist of very similar areas in color and tone. Splitting video layers into several individual layers to color correct them with fill or adjustment layers that are also full layers is a tricky process. You need to think about layer organization, of course, but there are also the effects of the fill or adjustment layers to consider. Because these layers are not automatically linked to a particular video layer, by default, they affect any layer that is below them in the hierarchy. I will show you how you can add fills and adjustments to just the video layer you want to affect.

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Notice the dramatic improvement in both the brightness and contrast of the foreground image area. The color really jumps out as well.

Automation of plotting and publishing is one of the advantages of sheet sets. You can plot or publish an entire sheet set or just part of it, directly from the Sheet Set Manager. To plot the entire sheet set, click the sheet set name and choose Publish Publish to Plotter. Your sheet set plots according to the settings in the template. To apply page-setup overrides, choose Publish Using Page Setup Override.

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reconstruction using the truncated SVD forward model of Fig 1033 While the image quality is poor, it is, of course, vastly superior to direct least squares Important lessons of this exercise include the dif culty of actually measuring the forward model and an appreciation of the scale of the problem This experiment covered only a very small subset of the system aperture; characterization and algebraic estimation based on the full-aperture system response is numerically intractable Although experimental forward model characterization is particularly challenging for thermal imagers, these issues are signi cant for all computational imaging systems Accurate forward models are essential to virtually all of the spectrometer and imager designs discussed in this text Needless to say, given the quality of the subaperture images in Fig 1035, the quality of the synthesized image is extremely disappointing.

You can also set an orientation for the slides themselves on the handouts. This is a separate setting that does not affect the handout page in terms of the placement of the header, footer, and other repeated elements. Figure 25-18 shows the difference between Portrait and Landscape slide orientation on a Portrait handout. To set either of these orientations, use their respective drop-down lists on the Handout Master tab, in the Page Setup group.

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The Inquiry commands are used to see and list the parameters of a model. Obj ects are put in relative to the origin, 0,0. The size, shape and properties of the objects can be listed with the Inquiry commands.

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More attractive results are obtained using parameterized physical models rather than fully characterized forward models For the COMP-I cameras, parameterized models assume that the same image is sampled in each subaperture with an unknown aperture to aperture shift Assuming the sampling model given by Eqn (1046), image synthesis is relatively straightforward Somewhat more detailed interpolation strategies are necessary for irregular sampling, but if the sampling positions are well known, one may expect to obtain STF-limited performance The sampling phase for the COMP-I imager was characterized by center-of-mass registration (although developing algorithms for larger-scale imaging systems use dimensionality reduction-based registration [115]) Samples from the registered subimages are then combined on an interpolation grid to reconstruct the full-frame image using subpixel sample spacings determined by the registration algorithm For objects at in nity, registration data need not be characterized for every image [132].

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