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 "Radius" parameter in the Gaussian Blur sharpening technique?
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To control the overall strength of the sharpening effect
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To determine the size of the sharpening kernel
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To adjust the contrast of the image
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To specify the threshold for edge detection
B
Correct answer
Explanation
The "Radius" parameter in Gaussian Blur determines the size of the Gaussian blur kernel, which affects the smoothness of the blurred image. A larger radius results in a smoother blur, while a smaller radius produces a less pronounced blur.
Which of these is a common post-processing technique used to enhance the colors and contrast of a product image?
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Cropping
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Sharpening
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Color Correction
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Resizing
C
Correct answer
Explanation
Color correction involves adjusting the color balance, saturation, and hue of an image to achieve accurate and visually appealing colors.
Which of these is a common post-processing technique used to remove unwanted objects or blemishes from a product image?
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Color Correction
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Sharpening
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Cloning
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Cropping
C
Correct answer
Explanation
Cloning involves copying pixels from one part of an image and pasting them onto another part to remove unwanted objects or blemishes, resulting in a seamless and clean product image.
Which of these is a common post-processing technique used to adjust the overall brightness and contrast of a product image?
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Color Correction
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Sharpening
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Levels Adjustment
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Cloning
C
Correct answer
Explanation
Levels adjustment involves adjusting the black point, white point, and mid-tones of an image to optimize the overall brightness, contrast, and tonal range.
The JPEG image compression standard uses:
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Discrete cosine transform (DCT)
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Discrete Fourier transform (DFT)
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Walsh-Hadamard transform (WHT)
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Haar wavelet transform
A
Correct answer
Explanation
The JPEG image compression standard uses the discrete cosine transform (DCT) to convert the image into a frequency domain representation, which is then quantized and compressed.
The H.264 video compression standard uses:
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Block-based motion compensation
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Discrete cosine transform (DCT)
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Quantization
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Entropy coding
Correct answer
Explanation
The H.264 video compression standard uses a combination of block-based motion compensation, discrete cosine transform (DCT), quantization, and entropy coding to achieve high compression ratios.
Which sharpening technique is most commonly used for portrait 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
A
Correct answer
Explanation
Unsharp Mask is a sharpening technique that selectively enhances the edges of an image, while preserving the overall smoothness of the image. It is commonly used for portrait photography because it can help to define the subject's features and create a more visually appealing image.
Which of the following is not a parameter of the Unsharp Mask filter?
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Amount
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Radius
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Threshold
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Contrast
D
Correct answer
Explanation
The Unsharp Mask filter has three parameters: Amount, Radius, and Threshold. Contrast is not a parameter of the Unsharp Mask filter.
Which sharpening technique is best suited for images with a lot of fine detail?
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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
B
Correct answer
Explanation
The High Pass Filter sharpening technique is best suited for images with a lot of fine detail because it selectively enhances the high-frequency details in the image, while preserving the overall smoothness of the image.
Which sharpening technique is best suited for images with a lot of noise or grain?
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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
The Median Filter sharpening technique is best suited for images with a lot of noise or grain because it selectively reduces noise and grain while preserving the overall sharpness of the image.
Which of the following is not a parameter of the Median Filter?
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Amount
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Radius
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Threshold
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Contrast
D
Correct answer
Explanation
The Median Filter has two parameters: Amount and Radius. Contrast is not a parameter of the Median Filter.
What is the primary purpose of the Matplotlib library?
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Numerical Optimization
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Data Visualization
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Symbolic Mathematics
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Machine Learning
B
Correct answer
Explanation
Matplotlib is a comprehensive library for creating 2D plots and interactive visualizations in Python. It offers a wide range of plot types, customization options, and interactive features, making it a powerful tool for data exploration and presentation.
Which editing technique is used to adjust the overall brightness and darkness of an image?
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Color correction
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Exposure adjustment
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Cropping
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Composition
B
Correct answer
Explanation
Exposure adjustment is used to control the overall brightness and darkness of an image. It involves adjusting the exposure value (EV) to make the image brighter or darker, depending on the desired effect.
Which editing technique involves selectively adjusting the brightness, contrast, and saturation of specific areas of an image?
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Color correction
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Exposure adjustment
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Dodge and burn
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Sharpening
C
Correct answer
Explanation
Dodge and burn is an editing technique that involves selectively lightening (dodging) or darkening (burning) specific areas of an image to create a more balanced and visually appealing composition.
Which editing technique involves adjusting the hue, saturation, and lightness of individual colors in an image?
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Color correction
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Exposure adjustment
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Selective color adjustment
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White balance adjustment
C
Correct answer
Explanation
Selective color adjustment involves adjusting the hue, saturation, and lightness of individual colors in an image, allowing the photographer to fine-tune the colors of specific objects or areas.