Title :
Image Coding for Binary Document Based on the Regional Features
Author :
Bo Yang ; Pengfei Li ; Liang Lei ; Xue Wang
Author_Institution :
Sch. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
Lossless coding is commonly found in binary image encoding with lower compression ratio. In this paper, image segmentation is used to classify the document image into line image regions, text image regions and halftone image regions. According to different features of each region, different encoding methods are applied to improve the image compression ratio. Adaptive arithmetic coding is used for line image regions, while symbols dictionary encoding for text image regions and the vector quantization coding for halftone image regions. Experiments show that this method can effectively improve the compression ratio of binary document image.
Keywords :
adaptive codes; arithmetic codes; data compression; document image processing; image coding; image segmentation; vector quantisation; adaptive arithmetic coding; binary document; binary image encoding; halftone image regions; image coding; image compression ratio; image segmentation; line image regions; low compression ratio; symbols dictionary encoding; text image regions; vector quantization coding; Arithmetic; Codecs; Dictionaries; Image coding; Image segmentation; Information entropy; Information theory; Optical character recognition software; Stress; Vector quantization;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5365186
