Hdimagelib

Hdimagelib

Hdimagelib is an open-source C++ image processing library that supports a wide range of image processing operations. It is designed to be fast, reusable and easy to integrate into applications.
Ai Tools & Services Image Processing
c image-processing computer-vision open-source
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Hdimagelib: Fast & Open-Source C++ Image Processing Library

Hdimagelib is an open-source C++ image processing library that supports a wide range of image processing operations, designed for speed, reusability and easy integration into applications.

What is Hdimagelib?

Hdimagelib is an open-source C++ image processing library that provides a collection of optimized algorithms for image processing and computer vision. It supports all major image formats including JPEG, PNG, TIFF and RAW images.

Some key features of Hdimagelib include:

  • Image transformations - scaling, rotation, cropping, flipping, color space conversions etc.
  • Image filtering - blurring, sharpening, edge detection, noise reduction
  • Geometric transformations - planar homography, panoramas
  • Feature detection and matching - SIFT, SURF, ORB
  • Camera calibration and 3D reconstruction
  • Segmentation and contour extraction
  • Machine learning - classifiers, regression

Hdimagelib focuses on providing high performance image processing by leveraging SIMD instructions, multi-core parallelism and GPU computing with CUDA. It also emphasizes ease of use through a consistent API inspired by OpenCV.

The library can be used in applications such as image editing, panorama stitching, 3D reconstruction, machine vision, augmented reality etc. It works on Windows, Linux and macOS platforms.

Hdimagelib Features

Features

  1. Image I/O
  2. Image processing algorithms
  3. Image transformations
  4. Histogram matching
  5. Color space conversions
  6. Image filtering
  7. Image segmentation
  8. Feature detection
  9. Image registration
  10. Camera calibration

Pricing

  • Open Source

Pros

Open source

Fast performance

Reusable code

Easy to integrate

Supports many image formats

Supports many algorithms

Well documented

Cons

Limited to C++

Steep learning curve

Requires coding skills

Lacks GUI

Official Links


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