The tool offers various analysis functions for evaluating image quality, including signal-to-noise characteristics, DINU, color metrics, shading factors, and defect pixel identification.


  • Pixel Finder
    Efficiently locate or navigate to specific pixels based on position or value range.

  • Quick Analysis
    Quickly inspect signal and noise in an image.

  • Histogram/SNR Analysis
    analyze signal characteristics, noise levels, and signal-to-noise ratio (SNR) in image data through pixel intensity histograms.

  • Line Profile
    Eables precise detection of horizontal or vertical fixed pattern noise and pixel-level anomalies along specific image rows or columns. .

  • DINU(Dark Intensity Non Uniformity)
    Analysis uneven pixel responses in dark regions, often indicating sensor noise or calibration issues.

  • Color Analysis
    enables precise evaluation of color distribution, balance, and deviations within an image.

  • Color Chart Analysis
    Analyzes the color values of each block in a 24-block color chart to assess accuracy and consistency.

  • Lens Shading
    Analyzes lens shading to detect and quantify brightness or color falloff from the center to the edges of an image.

  • Defect Pixels
    Analysis detects and visualizes abnormal pixels like hot, dead, or stuck ones to assess sensor issues or image quality.

  • HeatMap
    Visually representing data intensity or concentration using a color gradient from cool (blue) to warm (red) tones

  • Image Toggle
    Allow users seamlessly switch between image states or layers to compare versions and analyze changes interactively.

  • Embedded Line Viewer
    Displays and analyzes line-based data embedded in images to reveal sensor behavior or diagnostic details.

  • Pixel Values Export
    Allows users to extract and save raw pixel intensity data from selected regions or entire images for external analysis or reporting.