5 2 Image enhancement Most image enhancement operations are appl

5 2. Image enhancement Most image enhancement operations are applied to make the image visually more appealing. This can be accomplished by increasing contrast, optimizing brightness http://www.selleckchem.com/products/ABT-888.html and reducing unsharpness and noise.5 Brightness and contrast Brightness and contrast setting can be used to correct overexposure or underexposure of an image.4 Because correct exposure settings will result in an image with good contrast and density.3 Exposure conditions can be corrected to some extent: an overexposed image can be made lighter and, similarly, the density of an underexposed image can be made darker.3 Although it is no excuse to pay less attention to the correct exposure settings. But it can help to rescue an image in which exposure conditions were not optimal and thus prevent the need for a remake, saving the patient from an extra dose of radiation.

4 It is reasonable to assume that in the near future, software for digital radiography will include tools to optimize contrast and brightness automatically for specific diagnostic tasks. Thus, the practitioner could use a single image, and thus a single exposure, to assess more than one diagnostic issue.4 Zoom in Another simple but effective tool is the zoom function, which permits enlargement of the image. By using a twofold or threefold magnification, the user can recognize details more easily. To perform this action, the computer duplicates or interpolates rows and columns of the digital image, thus increasing the size of the image on the screen.

4 For example, if the original image extends partly outside the screen because of the large number of pixels vertically and horizontally resolution is reduced to fit the image within the size of the screen. In these cases, magnification of the image is required to show the original pixel resolution. If magnification is increased beyond the original pixel resolution, it results in pixelation.5 Sharpening and smoothing The purpose of sharpening and smoothing filters is to improve image quality by removing noise. Noise is irrelevant components of an image that hamper recognition and interpretation of the data of interest and it is often categorized as low-frequency noise (gradual intensity changes) or high-frequency noise (speckling).5�C7 Filters that sharpen an image remove low-frequency noise and intended to enhance the detail in an image.

Filters that smooth an image, remove high-frequency noise and intended to reduce the amplitude of small detail in an image. For the correct application of filters, it is important to know what type of noise they reduce and how AV-951 that affects radiographic features of interest. Without this knowledge, important radiographic features may degrade or disappear as noise is removed.5 Color Color application of radiographs is controversial issue in dental digital radiography. Most digital systems currently on the market provide opportunities for color application of radiographic images.

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