DocumentCode
350354
Title
A hybrid compression method based on region separation for synthetic and natural compound images
Author
Mogi, Takeshi
Author_Institution
Hypermedia Res. Center, Sanyo Electr. Co. Ltd., Japan
Volume
3
fYear
1999
fDate
1999
Firstpage
777
Abstract
This paper presents a hybrid compression method for a compound image including characters, graphics, and photos. Such kind of image is popular as Web contents or TV game images. We use usually JPEG to compress it, but the DCT compression like JPEG causes strong mosquito distortion around the contours of characters or graphics because of their strong edge intensity. Therefore we need high quality and low bitrate coding scheme for the compound image. Our hybrid compression method is based on region separation and adaptive coding. This method separates synthetic image region and natural image region according to each features, i.e., edge intensity and color deviation. Then our method encodes synthetic region by runlength coding, and natural region by JPEG respectively from the viewpoint of visual quality and coding efficiency. Our hybrid compression method provides good performance for the compound images compared with JPEG. This method can remarkably reduce mosquito distortion around the contours of character or graphics. Experimental results show +5 to +10 dB improvement of the SNR over JPEG
Keywords
data compression; discrete cosine transforms; image coding; JPEG; TV game images; Web contents; adaptive coding; color deviation; discrete cosine transform compression; edge intensity; hybrid compression method; low bitrate coding; natural compound images; region separation; synthetic compound images; Adaptive coding; Bit rate; Discrete cosine transforms; Frequency; Graphics; Image coding; Quantization; Radio spectrum management; Shape; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.817222
Filename
817222
Link To Document