Image Processing Intern

1 week ago

Bengaluru, India QuSyn Technologies Full time

Internship Opportunity: Image Processing & Automation

We are seeking a motivated intern to join our team in developing robust, rule-based image processing algorithms for automated data acquisition. **Image processing expertise is a must.


Position Details

  • Duration: 2–3 months initially. Extendable depending on progress.
  • Mode: On-site
  • Stipend: 20,000–25,000 INR per month (based on experience, performance and mode of engagement).
  • Engagement: Regular check-ins, progress reviews, and collaborative feedback loops


Scope of Work

  • Image Denoising & Background Removal: Design and implement classical algorithms to clean noisy images and remove backgrounds across varied conditions.
  • Foreground Extraction: Accurately isolate foreground elements using rule-based segmentation, contour analysis, and pixel-level heuristics.
  • Pixel-to-Data Conversion: Translate foreground pixel information into structured data formats (arrays) for downstream use.
  • Full Automation for “Zero Human Intervention”: Build a framework that autonomously processes raw images into usable data without manual oversight.


Benchmarking the algorithm against a lower bound of image quality: Defining and validating the minimum resolution, contrast, and noise levels under which the framework still performs reliably using quantitative metrics and thresholds and stress testing with degraded inputs.

Required Skills

  • Strong foundation in classical image processing (thresholding, morphological ops, edge detection, etc.)
  • Proficiency in Python and libraries like OpenCV, NumPy, PIL
  • Algorithmic thinking and modular design
  • Pixel-level analysis and data structuring
  • Automation mindset with robust scripting practices
  • Familiarity with image quality metrics (PSNR, SSIM, entropy)
  • Clear documentation and reproducibility


How to Apply: Interested candidates should attach a single PDF with:

  • Resume or CV highlighting relevant image processing experience.
  • A short write-up proposing a possible solution to the problem using classical image processing techniques (assume medical images) explaining feasibility of their approach, especially in the context of noisy (or low-quality) images and automation.


Please use the subject line: “Application – Image Processing Internship”. Shortlisted candidates will be invited to give a brief presentation on their proposed solution, including rationale, expected performance, and benchmarking strategy.

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