Title :
Automatic adaptive contrast enhancement for radiological imaging
Author :
Digalakis, V. ; Manolakis, D.G. ; Ingle, V.K. ; Kok, A.K.
Author_Institution :
SRI Int., Inc., Palo Alto, CA, USA
Abstract :
Enhancement of radiological images can improve their subsequent clinical interpretation or improve their automatic screening. Two new algorithms for automated adaptive contrast enhancement are presented. Compared to existing techniques, the proposed methods are completely automatic, in the sense that they do not require any interactive iterative adjustments by the reviewing physician. They exhibit better or equal performance with available methods. Both algorithms can be efficiently implemented using low-cost workstations or personal computers and can process even 2K × 2K images in a few seconds
Keywords :
adaptive signal processing; diagnostic radiography; image enhancement; medical image processing; automated adaptive contrast enhancement; automatic screening; clinical interpretation; low-cost workstations; radiological imaging; Adaptive filters; Biomedical imaging; Displays; Dynamic range; Educational institutions; Helium; Histograms; Optical imaging; Pixel; X-rays;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393846