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DigitalVideoAndHDTVAlgorithmsAndInterfaces.pdf

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Figure 5.2 Gaussian reconstruction<br />

is shown for the<br />

same bitmapped image as<br />

Figure 5.1. I will detail the<br />

one-dimensional Gaussian<br />

function on page 150.<br />

I introduced visual acuity on page 8.<br />

For details, see Contrast sensitivity<br />

function (CSF), on page 201.<br />

horizontal “stripes” is part of a window’s titlebar; the<br />

checkerboard background is intended to integrate to<br />

gray. Figure 5.1 shows reconstruction of the image with<br />

a “box” distribution. Each pixel is uniformly shaded<br />

across its extent; there is no overlap between pixels.<br />

This typifies an image as displayed on an LCD.<br />

A CRT’s electron gun produces an electron beam that<br />

illuminates a spot on the phosphor screen. The beam is<br />

deflected to form a raster pattern of scan lines that<br />

traces the entire screen, as I will describe in the<br />

following chapter. The beam is not perfectly focused<br />

when it is emitted from the CRT’s electron gun, and is<br />

dispersed further in transit to the phosphor screen.<br />

Intensity produced for each pixel at the face of the<br />

screen has a “bell-shaped” distribution resembling<br />

a two-dimensional Gaussian function. With a typical<br />

amount of spot overlap, the checkerboard area of this<br />

example will display as a nearly uniform gray as<br />

depicted in Figure 5.2 in the margin. You might think<br />

that the blur caused by overlap between pixels would<br />

diminish image quality. However, for continuous-tone<br />

(“contone”) images, some degree of overlap is not only<br />

desirable but necessary, as you will see from the<br />

following examples.<br />

Figure 5.3 at the top of the facing page shows a 16×20pixel<br />

image of a dark line, slightly more than one pixel<br />

wide, at an angle 7.2° off-vertical. At the left, the image<br />

data is reconstructed using a box distribution. The<br />

jagged and “ropey” nature of the reproduction is<br />

evident. At the right, the image data is reconstructed<br />

using a Gaussian. It is blurry, but less jagged.<br />

Figure 5.4 in the middle of the facing page shows two<br />

ways to reconstruct the same 16×20 pixels (320 bytes)<br />

of continuous-tone grayscale image data. The left-hand<br />

image is reconstructed using a box function, and the<br />

right-hand image with a Gaussian. I constructed this<br />

example so that each image is 4 cm (1.6 inches) wide.<br />

At typical reading distance of 40 cm (16 inches), a pixel<br />

subtends 0.4°, where visual acuity is near its maximum.<br />

At this distance, when reconstructed with a box function,<br />

the pixel structure of each image is highly visible;<br />

44 DIGITAL VIDEO AND HDTV ALGORITHMS AND INTERFACES

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