Image Processing Pipeline Toolbox

INO offers a MATLAB®-based framework designed to ease and accelerate the development and optimization of image processing chains. It allows subjective and quantitative comparison of state-of-the-art methods and home-made algorithms, from raw sensor denoising to image fusion and display. It can process image or video datasets, both visible and IR, making it the perfect tool for enhancing the quality of video surveillance footage.

Image processing features include, but are not limited to:

  • Denoising
  • Deconvolution
  • Spatial alignment
  • Enhancement
  • Tone-mapping
  • Fusion

The solution also provides you with quality metrics, allowing the measurement of selected parameters and the validation of each step in the processing chain:

  • Full reference
  • No reference
  • Reduced reference
  • Fusion quality metrics
  • Correlation metrics

Image Processing Chain Ino Web

Features:

  • Processing image or video datasets
  • Multiple probing points with quantitative metrics
  • Correlation ranking of metrics with subjectively ranked dataset (ground truth)
  • Feedback loop for adaptation of operation parameters

Image Processing Chain Enhanced Fusion Ino

Our expertise: design of custom solutions 

Our specialists can help you create specific algorithms, in order to optimize your processing chains, thus yielding results above expectations.

Our strength: measurable results

Probing points giving feedback are present at every step in the process. Thanks to those metrics, you will know if your results are acceptable, or if corrections are needed. 

Application fields:

  • Security and surveillance
  • Industrial vision
  • Medical imaging
  • Sensors development
  • Aerospace

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INO also offers intelligent video analytics and sensor deployment optimization solutions.

You have a project in mind? Talk with our specialists.

You have a project in mind? Talk with our specialists.

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