Curiosity · After 12th

How to learn Image Processing after 12th in Delhi

Image processing is the manipulation and analysis of digital images — filtering, enhancement, segmentation, morphological operations and feature extraction. It is the layer that turns raw pixels into something a vision or machine learning system can reason about. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Image Processing coverage is genuine rather than a brochure keyword.

At a glance

Topic
Image Processing
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

The degree route

The degree route is a B.Tech with genuine Image Processing depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Image Processing

Image processing is the manipulation and analysis of digital images — filtering, enhancement, segmentation, morphological operations and feature extraction. It is the layer that turns raw pixels into something a vision or machine learning system can reason about. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • Image processing content is taught within VSET's B.Tech CSE (AI & ML) programme, one of its seven GGSIPU-affiliated B.Tech programmes.
  • Mathematical foundations — linear algebra, transforms, probability — come from the GGSIPU engineering mathematics core.
  • Machine learning coursework in the AI & ML track builds on image processing for classification and detection tasks.
  • Python programming coursework in the CSE core provides the implementation environment used for image work.
  • The syllabus follows the university-standardised GGSIPU B.Tech scheme across all four years.

Where Image Processing skills lead

Graduates applying Image Processing skills typically target roles such as Computer Vision Engineer, Machine Learning Engineer, AI Engineer, Research Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.

Frequently asked questions

Can I learn Image Processing after 12th without coding background?

Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Image Processing-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.

Is image processing taught at VSET?

Yes, within the B.Tech CSE (AI & ML) programme, supported by the mathematics core and Python programming from the CSE core.

What hardware supports vision projects?

The AICTE IDEA Lab provides GPU workstations plus camera and sensor hardware.

Which branch should I pick for computer vision?

B.Tech CSE (AI & ML), which carries the machine learning coursework vision work builds on.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31