Image Data Compression Using Uneven Knots Selection.

Abstract

Application of B-spline functions over uneven knots in image processing is studied here. The subject is on compression of image signals. The algorithm for selecting uneven knots from the contours of the image is pursued here. A specific closeness error constraint appropriate for 3-D data is used here. The image reconstruction problem is tackled in two distinct ways, namely triangulation method and thin plates spline method. Some procedures to evaluate the fidelity of the image reconstruction schemes are provided too. A set of experiments in a broad variety of aerophotograph images is performed in order to test and validate the overall algorithm. Keywords include: Image processing; Data compression; Uneven knot selection; B-cubic spline; Scattered data interpolation; Thin plates spline.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA150602

Entities

People

  • C. T. De Miranda

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Compression
  • Data Compression
  • Data Processing
  • Image Processing
  • Image Reconstruction
  • Information Processing
  • Interpolation
  • Mathematics
  • Reliability
  • Three Dimensional
  • Triangulation

Readers

  • Geodesy
  • Radar Systems Engineering.
  • Structural Dynamics.