Gray-Scale Image Enhancement using the SMQT
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing2005 (English)Conference paper (Refereed) Published
This paper explores the Successive Mean Quantization Transform (SMQT) for automatic enhancement of gray-scale images. The transform is in the paper presented using set theory. The image enhancement capabilities and properties of the transform are analyzed. The transform is capable to perform both a nonlinear and a shape preserving stretch of the image histogram. Experiments and comparisons to histogram equalization are conducted.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:bth-9270ISI: 000235773300149Local ID: oai:bth.se:forskinfoDA2EF158A19E2B67C12572CF002E0869OAI: oai:DiVA.org:bth-9270DiVA: diva2:837052
IEEE International Conference on Image Processing (ICIP)