Basic Image Processing System Achievements
Application of sub-pixel matching technology for document images
  Comprehensive provision of basic image processing technology
  Skilled in handling PDF, JPEG2000, and multi-page TIFF

Filter Processing

Noise removal, smoothing, thinning, edge extraction, dilation, erosion, etc.

Conventional Image Conversion

All basic image transformation algorithms such as zoom, shrink, rotate, flip, etc. are supported

■Conventional N-Point Correction, Lens Distortion Correction, Illumination Correction

Fast correction for N points (N=2 to 64), digital camera distortion correction, magazine spread correction, illumination correction

■Labeling and Blob Analysis

Ultra-fast monochrome, 8-bit grayscale, 24-bit color supported

■Grayscale Conversion and Binarization

Grayscale conversion of color images, binarization, shading correction binarization
Monochrome to grayscale conversion

Color Reduction Processing

High-quality color reduction for full-color images to images with 256 colors or less

Pseudo Tonal Display

Pseudo tonal display using Blue Noise Mask method, which achieves the same image quality as error diffusion at several times the speed

■Image File Input and Output

Input and output of TIFF/BMP/GIF/PNG/JPEG /PDF/DXF/JP2(JPEG2000)/and more (PBM/PGM/PPM/Sun Raster...) formats