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 of the following is not a common post-processing technique used to create a holy grail time-lapse video?
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Motion control
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Color grading
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Stabilization
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Motion blur reduction
D
Correct answer
Explanation
Motion blur reduction is not a common post-processing technique used to create a holy grail time-lapse video because it can introduce unwanted artifacts into the final video.
Which of the following is not a common post-processing technique used to create a tilt-shift time-lapse video?
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Miniaturization effect
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Color grading
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Stabilization
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Motion blur reduction
D
Correct answer
Explanation
Motion blur reduction is not a common post-processing technique used to create a tilt-shift time-lapse video because it can introduce unwanted artifacts into the final video.
Which of the following is not a common post-processing technique used to create a stop motion time-lapse video?
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Frame blending
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Color grading
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Stabilization
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Motion blur reduction
D
Correct answer
Explanation
Motion blur reduction is not a common post-processing technique used to create a stop motion time-lapse video because it can introduce unwanted artifacts into the final video.
Which of these is NOT a common post-processing technique used in fashion and product photography?
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Color correction
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Exposure adjustment
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Sharpening
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HDR photography
D
Correct answer
Explanation
HDR photography is not commonly used in fashion and product photography, as it is more suitable for capturing high-dynamic range scenes.
In alpha matting, what does the alpha channel represent?
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The color information of an image
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The transparency information of an image
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The brightness information of an image
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The saturation information of an image
B
Correct answer
Explanation
The alpha channel in alpha matting represents the transparency information of an image, defining the areas that are transparent or semi-transparent.
Which of the following techniques is commonly used for creating alpha mattes?
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Color keying
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Edge detection
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Histogram equalization
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Image segmentation
A
Correct answer
Explanation
Color keying is a technique used for creating alpha mattes by selecting a specific color in an image and making it transparent.
What is the term used to describe the process of extracting the foreground object from an image using alpha matting?
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Foreground extraction
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Background subtraction
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Image masking
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Object isolation
A
Correct answer
Explanation
Foreground extraction is the process of isolating the foreground object from an image using alpha matting, creating a transparent background.
What is the term used to describe the process of combining a foreground image with a background image using an alpha matte?
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Image compositing
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Image blending
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Image overlay
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Image merging
A
Correct answer
Explanation
Image compositing is the process of combining a foreground image with a background image using an alpha matte, allowing for the creation of realistic and seamless compositions.
What is the term used to describe the process of refining and adjusting an alpha matte to improve its accuracy and precision?
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Matte cleanup
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Matte refinement
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Matte optimization
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Matte correction
A
Correct answer
Explanation
Matte cleanup is the process of refining and adjusting an alpha matte to improve its accuracy and precision, ensuring a clean and seamless transition between the foreground and background.
Which of the following techniques can be used to create a natural-looking transition between the foreground and background in alpha matting?
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Feathering
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Blending modes
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Color correction
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Sharpening
A
Correct answer
Explanation
Feathering is a technique used to create a gradual transition between the foreground and background in alpha matting, resulting in a more natural and realistic composite.
What is the term used to describe the process of removing unwanted artifacts and imperfections from an alpha matte?
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Matte cleanup
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Matte refinement
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Matte optimization
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Matte correction
A
Correct answer
Explanation
Matte cleanup is the process of removing unwanted artifacts and imperfections from an alpha matte, such as stray pixels or color fringing, to ensure a clean and seamless composite.
What is the term used to describe the process of using an alpha matte to isolate a specific object or region in an image?
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Object isolation
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Region selection
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Image masking
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Foreground extraction
A
Correct answer
Explanation
Object isolation is the process of using an alpha matte to isolate a specific object or region in an image, allowing for its manipulation or removal from the background.
Which of the following techniques can be used to create a realistic shadow for a composited object using alpha matting?
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Drop shadow
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Gaussian blur
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Color correction
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Motion blur
A
Correct answer
Explanation
Drop shadow is a technique used to create a realistic shadow for a composited object using alpha matting, simulating the natural shadow cast by the object in the scene.
What is the term used to describe the process of combining multiple alpha mattes to create a composite image with multiple layers?
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Layer compositing
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Image stacking
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Matte merging
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Channel blending
A
Correct answer
Explanation
Layer compositing is the process of combining multiple alpha mattes to create a composite image with multiple layers, allowing for the creation of complex and visually appealing compositions.
Which source coding technique is commonly used for compressing images and videos?
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Huffman Coding
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Shannon-Fano Coding
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Lempel-Ziv Coding
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Wavelet Coding
D
Correct answer
Explanation
Wavelet Coding is a powerful source coding technique specifically designed for compressing images and videos. It utilizes wavelet transforms to decompose the data into different frequency bands, enabling efficient compression by exploiting the spatial and spectral characteristics of the data.