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 recommended technique for reducing noise and grain in a sharpened image?
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Applying noise reduction before sharpening.
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Using a sharpening algorithm that is designed to reduce noise.
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Sharpening the image in multiple passes with a low sharpening amount.
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Sharpening the image at a low resolution.
D
Correct answer
Explanation
Sharpening the image at a low resolution is not a recommended technique for reducing noise and grain.
Which of the following is NOT a recommended technique for sharpening an image for web use?
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Using a sharpening radius of 1-2 pixels.
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Applying sharpening selectively to specific areas of the image.
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Using a sharpening algorithm that is designed for web images.
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Sharpening the image at a low resolution.
D
Correct answer
Explanation
Sharpening the image at a low resolution is not a recommended technique for sharpening an image for web use.
What is the primary cause of halos and edge artifacts when sharpening an image using a high-pass filter?
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Using a sharpening radius that is too large.
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Applying too much sharpening overall.
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Sharpening an image that is already sharp.
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Using a high-pass filter with a low cutoff frequency.
D
Correct answer
Explanation
Using a high-pass filter with a low cutoff frequency can cause halos and edge artifacts because it enhances high-frequency details too much, leading to an unnatural and exaggerated appearance.
Which of the following is NOT a recommended technique for sharpening an image for social media use?
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Using a sharpening radius of 1-2 pixels.
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Applying sharpening selectively to specific areas of the image.
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Using a sharpening algorithm that is designed for social media images.
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Sharpening the image at a high resolution.
D
Correct answer
Explanation
Sharpening the image at a high resolution is not a recommended technique for sharpening an image for social media use.
What is the term used to describe the process of reconstructing the wavefront distortions from the measurements obtained by wavefront sensors?
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Wavefront reconstruction
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Wavefront sensing
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Deformable mirror control
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Adaptive optics correction
A
Correct answer
Explanation
Wavefront reconstruction is the process of estimating the wavefront distortions from the measurements obtained by wavefront sensors.
Which type of adaptive optics system is used to correct for large-scale wavefront distortions?
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Multi-conjugate adaptive optics
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Single-conjugate adaptive optics
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Ground-layer adaptive optics
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Tomographic adaptive optics
A
Correct answer
Explanation
Multi-conjugate adaptive optics systems are used to correct for large-scale wavefront distortions by using multiple deformable mirrors.
What is the term used to describe unintended streaks or patches of light in a photograph due to light leaks?
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Vignetting
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Light Leaks
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Ghosting
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Bokeh
B
Correct answer
Explanation
Light Leaks occur when light enters the camera body through unintended openings, causing streaks or patches of light in the image.
What is the term used to describe the gradual darkening of the edges of a photograph?
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Vignetting
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Light Leaks
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Film Grain
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Chromatic Aberration
A
Correct answer
Explanation
Vignetting is the gradual darkening of the edges of a photograph, often caused by the lens or camera body design.
What type of filter can help reduce glare and reflections when shooting in bright, sunny conditions?
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Neutral density filter
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Polarizing filter
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UV filter
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Graduated neutral density filter
B
Correct answer
Explanation
A polarizing filter helps reduce glare and reflections by blocking certain wavelengths of light, resulting in more saturated colors and improved contrast.
Which of the following is NOT a common method for sharpening images in macro 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
C
Correct answer
Explanation
Median Filter is a noise reduction technique, not a sharpening technique. Unsharp Mask, High Pass Filter, and Gaussian Blur are all commonly used for sharpening images.
What is the primary difference between Unsharp Mask and High Pass Filter sharpening methods?
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Unsharp Mask sharpens edges more than High Pass Filter
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High Pass Filter sharpens edges more than Unsharp Mask
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Unsharp Mask is more effective at reducing noise
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High Pass Filter is more effective at reducing noise
B
Correct answer
Explanation
High Pass Filter is generally considered to be more aggressive in sharpening edges compared to Unsharp Mask, but it can also introduce more noise.
What is the best way to preview the effects of sharpening before applying it to an image?
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Use the histogram
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Zoom in to 100%
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Apply the sharpening and then undo it
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Use the sharpening slider
B
Correct answer
Explanation
Zooming in to 100% allows you to see the effects of sharpening on the fine details of the image.
What is the recommended sharpening workflow for macro photography?
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Sharpen the image before noise reduction
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Sharpen the image after noise reduction
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Sharpen the image multiple times
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Sharpen the image only if it is blurry
B
Correct answer
Explanation
It is generally recommended to apply noise reduction before sharpening to avoid amplifying noise during the sharpening process.
Which of the following assumptions is commonly made in closed-form matting algorithms?
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The background is locally smooth.
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The foreground object has sharp edges.
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The image contains only a single foreground object.
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The illumination is uniform across the image.
A
Correct answer
Explanation
Closed-form matting algorithms often assume that the background is locally smooth, meaning that the color and intensity values of neighboring pixels in the background are similar.
Which of the following closed-form matting algorithms is known for its simplicity and efficiency?
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Bayesian Matting
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Poisson Matting
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Closed-Form Matting
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Random Walk Matting
C
Correct answer
Explanation
Closed-Form Matting, also known as Trimap Matting, is a simple and efficient closed-form matting algorithm that estimates the alpha matte based on a user-provided trimap, which consists of regions labeled as foreground, background, and unknown.