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
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Fluorescence
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Latent image
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Watermark
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Back-to-back registration
A
Correct answer
Explanation
Fluorescence is the property where certain security features on currency notes glow when exposed to ultraviolet (UV) light. The number panels on banknotes are treated with fluorescent ink that becomes visible only under UV light, making counterfeiting much more difficult. Latent image requires tilting, watermark is visible against normal light, and back-to-back registration involves design alignment.
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Dot
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Line
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Pixel
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None of these
C
Correct answer
Explanation
A pixel (short for 'picture element') is the smallest unit of a digital image. It is a single point in a raster image and represents the minimum addressable element of a display screen.
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Flexible Image Transport
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Free Image Transport
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Flexible Image Text
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Flow Image Transport
A
Correct answer
Explanation
FITS stands for Flexible Image Transport System, which is the standard data format used in astronomy for storing images and data. It's designed for scientific imaging and can handle multidimensional data arrays.
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lighten red objects.
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darken red objects.
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lighten green objects.
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give a red cast to objects in the photograph.
A
Correct answer
Explanation
In black and white photography, filters lighten their own color and darken complementary colors. A red filter allows red light to pass through freely, so red objects appear lighter in the final print. Green and blue objects appear darker because those colors are absorbed.
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A. Image size and object type
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B. Object type and image type
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C. Screen resolution and object type
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D. Screen resolution and image size
D
Correct answer
Explanation
Bitmap checkpoints in QTP/UFT capture and compare screen areas pixel-by-pixel. Screen resolution changes affect pixel density and layout, while image size determines the captured area dimensions. Object type doesn't matter for bitmap comparisons since they're purely visual - it's all about screen pixels. Image type vs object type distinctions aren't relevant to bitmap checkpoint sensitivity.
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1x1 pixel transparent image
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width and height
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hieght and breadth
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both 2&3
A
Correct answer
Explanation
The 1x1 transparent GIF spacer technique was a common web design workaround before CSS became standard. Hspace and Vspace were deprecated HTML attributes for image spacing. Using a tiny transparent image stretched to desired size was the preferred alternative. Width/height define the image dimensions, not spacing around it.
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A. Image size and object type
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B. Object type and image type
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C. Screen resolution and object type
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D. Screen resolution and image size
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Density independent pixel
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Density index pixel
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Density integer pixel
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None of above
A
Correct answer
Explanation
dip stands for density-independent pixel. It's an abstract unit that scales based on screen density - 1 dip equals 1 pixel on a 160 dpi screen. This ensures UI elements appear the same physical size across different devices.
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Supports black-and-white (bitonal, monochrome) images
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lossless compression
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TIFF format can save multi-page documents to a single TIFF file
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All the above
D
Correct answer
Explanation
Bitonal TIFF is preferred for scanned documents because it supports black-and-white imaging (sufficient for most business documents), uses lossless compression (preserves exact document content), and can store multi-page documents in a single file (efficient for archival). These combined benefits make it ideal for enterprise document management.
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smash()
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setupFillPixels()
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createRandomArray()
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none of these
A
Correct answer
Explanation
This method is used in image processing of applet to modify the work_pixels array for the next cell.
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Scaling
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Bleeding
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Cropping
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Convolution
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Resampling
D
Correct answer
Explanation
Convolution is a simple mathematical operation which is fundamental to many common image processing operators. Convolution provides a way of 'multiplying together' two arrays of numbers, generally of different sizes, but of the same dimensionality, to produce a third array of numbers of the same dimensionality.
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Dither
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Halftone
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Convolution
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Edge Detection
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Color grading
B
Correct answer
Explanation
Halftone is the reprographic technique that simulates continuous tone imagery through the use of dots, varying either in size, shape or spacing.
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Graphics
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Interlaced Graphics
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Contrast
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GIF Files
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Tables
B
Correct answer
Explanation
Images that gradually appear sharper are called interlaced graphics.
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Aspect ratio
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Entropy
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Histogram
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Scan line
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Resolution
C
Correct answer
Explanation
The Histogram shows the total tonal distribution in the image. It's a barchart of the count of pixels of every tone of gray that occurs in the image. It helps us analyze, and more importantly, correct the contrast of the image.