Computer Knowledge
Digital Image Processing
2,103 Questions
Digital image processing involves manipulating digital images through various algorithms to enhance their visual quality or extract information. Key concepts include noise reduction, high dynamic range imaging, color correction, and sharpening techniques. These concepts are essential for computer science exams and technical certifications.
Color management systemsNoise reduction techniquesHDR image combiningImage sharpening techniquesAlpha matting process
Digital Image Processing Questions
Which color correction technique is used to map the colors of virtual objects to the colors of the real world?
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White balance
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Color grading
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Color mapping
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Gamma correction
C
Correct answer
Explanation
Color mapping is a color correction technique used to adjust the colors of virtual objects so that they match the colors of the real world, creating a more realistic and immersive AR experience.
Which color correction technique is used to adjust the hue, saturation, and lightness of individual colors?
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White balance
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Color grading
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Hue/Saturation/Lightness (HSL) adjustment
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Curves adjustment
C
Correct answer
Explanation
Hue/Saturation/Lightness (HSL) adjustment is a color correction technique that allows for precise control over the hue, saturation, and lightness of individual colors within an image or scene.
Which color correction technique is used to adjust the overall brightness and contrast of an AR scene?
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White balance
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Color grading
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Levels adjustment
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Curves adjustment
C
Correct answer
Explanation
Levels adjustment is a color correction technique that allows for precise control over the overall brightness and contrast of an image or scene.
Which color correction technique is used to adjust the color temperature of an AR scene?
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White balance
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Color grading
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Color mapping
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Gamma correction
A
Correct answer
Explanation
White balance is a color correction technique used to adjust the overall color temperature of an image or scene, ensuring that white objects appear white under different lighting conditions.
Which color correction technique is used to adjust the overall saturation of an AR scene?
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White balance
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Color grading
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Levels adjustment
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Curves adjustment
D
Correct answer
Explanation
Curves adjustment is a color correction technique that allows for precise control over the overall saturation of an image or scene.
Which of the following tools is commonly used for cropping images?
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Crop tool
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Marquee tool
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Lasso tool
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Magic wand tool
A
Correct answer
Explanation
The crop tool is specifically designed for cropping images. It allows you to define a rectangular or square area within the image that you want to keep, while discarding the rest.
When resizing an image, what is the recommended approach to maintain image quality?
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Use the nearest neighbor interpolation method.
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Use the bilinear interpolation method.
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Use the bicubic interpolation method.
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Use the Lanczos interpolation method.
C
Correct answer
Explanation
The bicubic interpolation method is generally considered the best choice for resizing images as it produces smoother and more accurate results compared to other interpolation methods.
When resizing an image, what is the potential drawback of using the nearest neighbor interpolation method?
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It can produce jagged edges and pixelated artifacts.
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It can result in a loss of image quality.
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It can increase the file size of the image.
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It can slow down the processing time.
A
Correct answer
Explanation
The nearest neighbor interpolation method is the simplest and fastest resizing algorithm, but it can produce jagged edges and pixelated artifacts, especially when enlarging an image.
Which of the following is not a common resizing technique used in photo editing?
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Upscaling
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Downscaling
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Interpolation
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Sharpening
D
Correct answer
Explanation
Sharpening is a technique used to enhance the clarity and detail of an image. It is not directly related to resizing.
What is the recommended approach to maintain image quality when upscaling an image?
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Use the nearest neighbor interpolation method.
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Use the bilinear interpolation method.
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Use the bicubic interpolation method.
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Use the Lanczos interpolation method.
D
Correct answer
Explanation
The Lanczos interpolation method is generally considered the best choice for upscaling images as it produces the smoothest and most accurate results, minimizing the loss of image quality.
What is the best way to align the multiple exposures when creating an HDR image?
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Manually
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Using a tripod
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Using a software program
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All of the above
C
Correct answer
Explanation
The best way to align the multiple exposures when creating an HDR image is to use a software program, as this can be done more accurately than manually.
What is the best way to tone map an HDR image?
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Using a software program
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Manually
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Using a hardware device
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All of the above
A
Correct answer
Explanation
The best way to tone map an HDR image is to use a software program, as this provides the most control over the final image.
What is the term used to describe the process of correcting distortions and geometric errors in aerial photographs?
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Image rectification
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Image enhancement
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Image mosaicking
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Image classification
A
Correct answer
Explanation
Image rectification is the process of correcting distortions and geometric errors in aerial photographs, ensuring accurate measurements and spatial relationships for mapping and analysis.
What is the technique used to combine multiple aerial photographs into a seamless and continuous image?
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Image rectification
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Image enhancement
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Image mosaicking
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Image classification
C
Correct answer
Explanation
Image mosaicking is the technique used to combine multiple aerial photographs into a seamless and continuous image, allowing for the creation of large-scale maps and orthophotos.
What is pixel accuracy in the context of photography matting?
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The degree to which the foreground and background pixels are correctly classified.
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The number of pixels in the image.
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The sharpness of the image.
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The color accuracy of the image.
A
Correct answer
Explanation
Pixel accuracy is a measure of how well a matting algorithm can correctly classify each pixel in an image as either foreground or background.