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 filter is commonly used in landscape photography to reduce glare and reflections?
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Polarizing Filter
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Neutral Density Filter
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Ultraviolet Filter
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Infrared Filter
A
Correct answer
Explanation
Polarizing filters are often used in landscape photography to reduce glare and reflections from water surfaces, foliage, and other reflective surfaces, enhancing the overall clarity and contrast of the image.
Which of the following is NOT a common post-processing technique used in street photography?
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Cropping
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Color correction
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HDR blending
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Noise reduction
C
Correct answer
Explanation
HDR blending is not typically used in street photography because it can make the image look too artificial and unrealistic.
Which of the following is NOT a common color correction technique used in street photography?
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White balance adjustment
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Exposure adjustment
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Contrast adjustment
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Saturation adjustment
B
Correct answer
Explanation
Exposure adjustment is not typically used in street photography because it can make the image look too bright or too dark.
Which of the following is NOT a common sharpening technique used in street photography?
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Unsharp mask
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High pass filter
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Median filter
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Gaussian blur
D
Correct answer
Explanation
Gaussian blur is not typically used in street photography because it can make the image look too soft and blurry.
Which of the following is NOT a common black and white conversion technique used in street photography?
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Desaturation
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Channel mixer
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Levels adjustment
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Curves adjustment
C
Correct answer
Explanation
Levels adjustment is not typically used in black and white conversion because it can make the image look too contrasty.
Which of the following is a common technique used to optimize the performance of real-time graphics systems?
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Level of Detail (LOD)
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Occlusion Culling
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Dynamic Lighting
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Anti-Aliasing
A
Correct answer
Explanation
Level of Detail (LOD) is a technique used to reduce the geometric complexity of objects based on their distance from the viewer, improving performance.
Which of the following is a common technique used to reduce aliasing in real-time graphics?
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Supersampling
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Multisampling
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Anisotropic Filtering
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Mipmapping
B
Correct answer
Explanation
Multisampling is a technique used to reduce aliasing by sampling multiple times per pixel and blending the results.
Which of the following is NOT a common editing technique used in jewelry photography?
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Adjusting color and contrast
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Removing unwanted reflections and blemishes
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Applying filters and effects
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Cropping and resizing the image
C
Correct answer
Explanation
While adjusting color, contrast, removing blemishes, and cropping/resizing are common editing techniques, applying filters and effects is generally not considered a standard practice in professional jewelry photography.
Which of the following is NOT a common editing technique used in event photography?
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Color correction
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Exposure adjustment
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Cropping and resizing
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Adding filters and effects
D
Correct answer
Explanation
Adding filters and effects is not a common editing technique used in event photography because it can make the images look unnatural and over-processed. Color correction, exposure adjustment, and cropping and resizing are all more common techniques for improving the look of event photos.
How does AI help to reduce noise and improve the clarity of underwater images?
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By applying denoising algorithms
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By enhancing edges and textures
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By correcting color distortion
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By stabilizing shaky footage
A
Correct answer
Explanation
AI-powered denoising algorithms effectively remove noise from underwater images, resulting in clearer and sharper images with reduced graininess.
What is the role of AI in color correction and white balance adjustment for underwater images?
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It automatically adjusts color temperature
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It corrects color casts caused by underwater conditions
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It enhances the vibrancy and saturation of colors
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All of the above
D
Correct answer
Explanation
AI plays a crucial role in color correction and white balance adjustment by automatically adjusting color temperature, correcting color casts, and enhancing the vibrancy and saturation of colors, resulting in more natural and visually appealing underwater images.
How does AI assist in enhancing the sharpness and detail of underwater images?
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By applying sharpening filters
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By reducing image noise
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By increasing the contrast between objects
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Both A and C
D
Correct answer
Explanation
AI combines the application of sharpening filters and increases the contrast between objects to enhance the sharpness and detail of underwater images, making them appear more crisp and well-defined.
Which AI technique is used to stabilize shaky underwater footage, reducing motion blur?
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Image stabilization
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Motion compensation
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Temporal filtering
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All of the above
D
Correct answer
Explanation
AI utilizes a combination of image stabilization, motion compensation, and temporal filtering techniques to effectively stabilize shaky underwater footage, reducing motion blur and creating smoother and more watchable videos.
How does AI assist in removing unwanted objects or elements from underwater images?
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By identifying and isolating unwanted objects
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By seamlessly blending the surrounding area to fill the gap
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By automatically adjusting the color and tone of the surrounding area
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All of the above
D
Correct answer
Explanation
AI combines the capabilities of identifying and isolating unwanted objects, seamlessly blending the surrounding area to fill the gap, and automatically adjusting the color and tone of the surrounding area to effectively remove unwanted objects or elements from underwater images.
Which AI technique is commonly used to enhance the sharpness and detail of underwater images?
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Edge detection
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Image sharpening
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Histogram equalization
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Color correction
B
Correct answer
Explanation
Image sharpening is an AI technique that enhances the sharpness and detail of underwater images by accentuating the edges of objects and reducing blur.