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Image Processing Flashcards

7 cards from real CDIA practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Image Processing flashcards as text
  1. In CDIA contexts, what is the primary advantage of MRC (Mixed Raster Content) compression?

    Answer: It separately compresses foreground text and background layers for optimal quality and size

    MRC separates a page into foreground (text/line art) and background (photos/graphics) layers, applying optimal compression to each for better quality at smaller file sizes.

  2. Which metric is used to measure the similarity between an original and compressed document image?

    Answer: PSNR (Peak Signal-to-Noise Ratio)

    PSNR measures the ratio between the maximum possible signal power and noise introduced by compression, indicating image fidelity after compression.

  3. What is 'border removal' as applied in document image processing?

    Answer: Cropping the image to remove dark edges caused by scanner platens or document holders

    Border removal eliminates dark or irregular edges that appear at scan boundaries due to the scanner platen or document holder being visible.

  4. Which filter is most effective for smoothing document images while preserving sharp edges such as text boundaries?

    Answer: Bilateral filter

    A bilateral filter smooths flat regions while preserving edges by weighting neighboring pixels based on both spatial distance and intensity difference.

  5. In document imaging, what does 'auto-crop' functionality accomplish?

    Answer: Detects and trims the document boundary, removing surrounding scanner background

    Auto-crop detects the edges of the actual document within the scan area and removes the surrounding scanner background or platen.

  6. What is the effect of applying a morphological 'dilation' operation to a binary document image?

    Answer: Expands white regions and can connect nearby broken text strokes

    Dilation expands bright (white) regions in a binary image, which can help connect broken character strokes in text recognition preprocessing.

  7. Which standard defines the JBIG2 compression algorithm used for bitonal document images?

    Answer: ITU-T T.88

    JBIG2 is defined by ITU-T T.88 and offers high compression ratios for bitonal (black-and-white) document images by using symbol matching.