作者: Yu Qian Zhao , Zhi Gang Li
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.461.215
关键词: Balanced histogram thresholding 、 Computer science 、 Image processing 、 Image histogram 、 Histogram 、 Grayscale 、 Histogram equalization 、 Histogram matching 、 Adaptive histogram equalization 、 Computer vision 、 Artificial intelligence
摘要: According to the characteristics of infrared images, a contrast enhancement algorithm was presented. The principium of FPGA-based adaptive bidirectional plateau histogram equalization was given in this paper. The plateau value was obtained by finding local maximum and whole maximum in statistical histogram based on dimensional histogram statistic. Statistical histogram was modified by the plateau value and balanced in gray scale and gray spacing. Test data generated by single frame image, which was simulated by FPGA-based real-time adaptive bidirectional plateau histogram equalization. The simulation results indicates that the precept meet the requests well in both the image processing effects and processing speed