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
In the context of image reconstruction, what is the term for the process of increasing the resolution of the reconstructed image?
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Super-resolution
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Upsampling
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Interpolation
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Extrapolation
A
Correct answer
Explanation
Super-resolution is the process of increasing the resolution of an image beyond the limits of the original sensor.
In the context of image reconstruction, what is the term for the process of estimating the missing parts of an image?
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Inpainting
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Extrapolation
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Interpolation
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Super-resolution
A
Correct answer
Explanation
Inpainting is the process of estimating the missing parts of an image.
In the context of image reconstruction, what is the term for the process of combining multiple images into a single, high-quality image?
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Image fusion
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Image stitching
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Image registration
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Image enhancement
A
Correct answer
Explanation
Image fusion is the process of combining multiple images into a single, high-quality image.
Which mathematical technique is used in image processing to enhance the quality of images?
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Fourier Transform
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Wavelet Transform
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Sobel Operator
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Canny Edge Detector
A
Correct answer
Explanation
Fourier Transform is used in image processing to analyze and manipulate images in the frequency domain.
Which editing technique involves adjusting the overall color temperature of an image to create a specific mood or atmosphere?
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Cropping
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Sharpening
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Color Correction
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White Balance
D
Correct answer
Explanation
White Balance is an editing technique that adjusts the overall color temperature of an image to ensure accurate color reproduction. It allows you to correct color casts caused by different light sources, such as incandescent bulbs or fluorescent lights, and create a specific mood or atmosphere in the image.
Which of the following is NOT a common application of image processing in business?
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Product inspection
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Medical imaging
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Fraud detection
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Data visualization
B
Correct answer
Explanation
Medical imaging is not a common application of image processing in business, but it is a major application in the healthcare industry.
How is image processing used in product inspection?
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To detect defects in products
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To measure the size and shape of products
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To identify products that are not up to standard
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All of the above
D
Correct answer
Explanation
Image processing is used in product inspection to detect defects, measure size and shape, and identify non-standard products.
What is the most common type of image processing algorithm used in business?
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Edge detection
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Segmentation
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Feature extraction
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Classification
B
Correct answer
Explanation
Segmentation is the most common type of image processing algorithm used in business, as it is used to divide an image into regions of interest.
Which of the following is NOT a common application of image processing in finance?
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Fraud detection
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Risk assessment
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Portfolio management
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Customer relationship management
D
Correct answer
Explanation
Customer relationship management is not a common application of image processing in finance.
How is image processing used in fraud detection in finance?
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To detect counterfeit money
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To detect fake IDs
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To detect credit card fraud
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All of the above
D
Correct answer
Explanation
Image processing is used in fraud detection in finance to detect counterfeit money, fake IDs, and credit card fraud.
How is image processing used in portfolio management in finance?
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To track the performance of investments
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To identify investment opportunities
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To manage risk
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All of the above
D
Correct answer
Explanation
Image processing is used in portfolio management in finance to track performance, identify opportunities, and manage risk.
Which image processing technique is commonly used to adjust the brightness and contrast of images?
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Histogram equalization
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Edge detection
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Color correction
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Image segmentation
C
Correct answer
Explanation
Color correction is a technique used to adjust the brightness, contrast, and color balance of images to improve their visual appearance.
Which image processing technique is used to automatically identify and segment objects in images?
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Edge detection
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Image segmentation
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Color correction
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Histogram equalization
B
Correct answer
Explanation
Image segmentation is a technique used to divide an image into multiple segments, each representing a distinct object or region of interest.
Which image processing technique is commonly used to remove noise from images?
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Median filter
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Gaussian blur
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Sobel edge detection
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Canny edge detection
A
Correct answer
Explanation
Median filter is a non-linear image processing technique used to remove noise from images by replacing each pixel with the median value of its neighboring pixels.
Which image processing technique is commonly used to enhance the sharpness of images?
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Unsharp masking
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Histogram equalization
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Color correction
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Image segmentation
A
Correct answer
Explanation
Unsharp masking is a technique used to enhance the sharpness of images by selectively increasing the contrast along the edges of objects.