Computer Knowledge
Digital Image Processing
2,042 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
What is the primary function of the ImageFilter module in Python's Pillow library?
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Image Manipulation
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Image Filtering
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Color Conversion
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Image Resizing
B
Correct answer
Explanation
The ImageFilter module in Pillow provides a range of filters that can be applied to images for various effects, such as blurring, sharpening, and edge detection.
What is the primary function of the imshow() function in OpenCV?
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Image Display
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Image Filtering
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Image Reading
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Image Writing
A
Correct answer
Explanation
The imshow() function in OpenCV is used to display an image on a window for visualization purposes.
What is the primary function of the imwrite() function in OpenCV?
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Image Display
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Image Filtering
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Image Reading
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Image Writing
D
Correct answer
Explanation
The imwrite() function in OpenCV is used to write and save an image to a specified file path.
Which library is commonly used for image enhancement tasks in Python?
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OpenCV
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Scikit-Image
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Pillow
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TensorFlow
B
Correct answer
Explanation
Scikit-Image offers a variety of image enhancement algorithms, such as histogram equalization, contrast adjustment, and noise reduction.
What is the primary function of the Canny() function in OpenCV?
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Image Filtering
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Edge Detection
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Image Segmentation
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Object Detection
B
Correct answer
Explanation
The Canny() function in OpenCV is used for edge detection in images, identifying and highlighting the boundaries of objects.
Which of the following is a super-resolution microscopy technique that uses structured illumination to achieve nanoscale resolution?
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STED microscopy
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PALM/STORM microscopy
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SIM microscopy
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FCS microscopy
C
Correct answer
Explanation
Structured illumination microscopy (SIM) is a super-resolution microscopy technique that uses structured illumination patterns to achieve nanoscale resolution, allowing for the visualization of cellular structures and components beyond the diffraction limit.
Which optimization technique is commonly used to reduce the computational cost of rendering complex scenes?
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Level of Detail (LOD)
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Occlusion Culling
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Frustum Culling
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Texture Streaming
A
Correct answer
Explanation
Level of Detail (LOD) is an optimization technique that reduces the geometric complexity of objects based on their distance from the camera. Objects that are farther away are rendered with lower detail, while objects that are closer are rendered with higher detail. This helps to improve performance by reducing the number of polygons that need to be processed.
Which type of soft filter is often used to create a vignette effect in images?
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Radial Gradient Filter
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Graduated Neutral Density (GND) Filter
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Diffusion Filter
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Neutral Density (ND) Filter
A
Correct answer
Explanation
Radial Gradient filters feature a gradual transition from dark to clear, allowing photographers to create a vignette effect where the center of the image is brighter than the edges.
Which type of soft filter is commonly used to reduce the appearance of wrinkles and blemishes in portraits?
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Neutral Density (ND) Filter
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Polarizing Filter
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Graduated Neutral Density (GND) Filter
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Soft Focus Filter
D
Correct answer
Explanation
Soft focus filters can be used to reduce the appearance of wrinkles and blemishes in portraits by creating a softer, less defined look.
Which type of soft filter is often used to create a dreamy, ethereal look in landscape photography?
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Radial Gradient Filter
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Graduated Neutral Density (GND) Filter
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Diffusion Filter
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Neutral Density (ND) Filter
C
Correct answer
Explanation
Diffusion filters can create a dreamy, ethereal look in landscape photography by scattering light and reducing the sharpness of the image.
Which type of soft filter is commonly used to create a starburst effect in images?
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Radial Gradient Filter
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Graduated Neutral Density (GND) Filter
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Diffusion Filter
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Cross Screen Filter
D
Correct answer
Explanation
Cross screen filters feature a grid pattern that creates a starburst effect when light sources are captured in an image.
Which type of soft filter is often used to create a black and white effect in images?
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Radial Gradient Filter
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Graduated Neutral Density (GND) Filter
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Diffusion Filter
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Black and White Filter
D
Correct answer
Explanation
Black and white filters convert color images into black and white, allowing photographers to create a classic, timeless look.
Which type of soft filter is commonly used to create a sepia-toned effect in images?
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Radial Gradient Filter
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Graduated Neutral Density (GND) Filter
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Diffusion Filter
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Sepia Filter
D
Correct answer
Explanation
Sepia filters convert color images into a sepia-toned effect, giving them a vintage, nostalgic look.
Which fundamental technique involves combining multiple images into a single composition?
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Layering
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Blending
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Masking
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Color Correction
A
Correct answer
Explanation
Layering is a core technique in digital collage, allowing artists to stack and arrange multiple images on top of each other to create depth and visual interest.
What is the process of seamlessly merging two or more images together called?
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Layering
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Blending
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Masking
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Color Correction
B
Correct answer
Explanation
Blending techniques, such as layer blending modes and adjustment layers, are used to smoothly transition between different images and create a cohesive composition.