Image Processing Task

An Image Processing Task is an information processing task whose input are image artifacts.

• Context:
  • Inputs: image data, image files, pixel arrays, ...
  • Outputs: processed images, image features, image analysis results, ...
  • Performance Measures: image processing accuracy, processing speed, output quality, ...
  • ...
  • It can range from being a Simple Image Processing Task to being a Complex Image Processing Task, depending on processing complexity.
  • It can range from being a Digital Image Processing Task to being an Analog Image Processing Task, depending on signal type.
  • It can range from being a Low-Level Image Processing Task to being a High-Level Image Processing Task, depending on processing abstraction.
  • It can range from being a Single-Channel Image Processing Task to being a Multi-Channel Image Processing Task, depending on image dimension.
  • It can range from being a Real-Time Image Processing Task to being a Batch Image Processing Task, depending on processing timing.
  • It can range from being a Local Image Processing Task to being a Global Image Processing Task, depending on processing scope.
  • It can range from being a Human-Performed Image Processing Task to being an Automated Image Processing Task, depending on execution agent type.
  • ...
  • It can implement Image Processing Algorithms for transforming image data.
  • It can utilize Image Processing Models for analyzing visual content.
  • It can support Image Enhancement through various processing techniques.
  • It can enable Image Analysis for computer vision systems.
  • It can evolve with imaging technology and processing capabilitys.
  • ...
• Example(s):
  • Image Data Analysis Tasks, such as:
    • an Image Segmentation Task that divides images into meaningful regions.
    • an Image Recognition Task that identifies objects and patterns.
    • an Image Classification Task that categorizes image content.
  • Image Enhancement Tasks, such as:
    • a Noise Reduction Task that improves image quality.
    • a Contrast Enhancement Task that adjusts image visibility.
  • Image Transformation Tasks, such as:
    • an Image Resizing Task that modifies image dimensions.
    • an Image Format Conversion Task that changes file formats.
  • Image Feature Extraction Tasks, such as:
    • an Edge Detection Task that identifies boundaries.
    • a Texture Analysis Task that characterizes surface patterns.
  • ...
• Counter-Example(s):
  • Natural Language Processings, which process text rather than images.
  • Document Processing, ...
  • Audio Processings, which work with sound signals instead of visual data.
• See: AI-Based Task, Vision Task, Image Analysis, Computer Vision.

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