Title :
Primitive-based image coding technique for still pictures
Author :
Alattar, Adnan M. ; Rajala, Sarah A.
Author_Institution :
North Carolina State Univ., Raleigh, NC, USA
Abstract :
A new image coding technique for achieving an extremely high compression ratio while producing good image quality is described. The idea is analogous to that used in forensic applications when constructing a composite image of a criminal from a collection of images of facial features. The imput image is segmented into complicated primitives that are coded using previously constructed database of primitives. A duplicate database is used at the receiver to decode the primitives. The decoded primitives are assembled as in computer animation to produce a faithful reconstruction of the original image. The technique has been applied to head-and-shoulders images and compression ratios over 1000:1 have been achieved
Keywords :
data compression; decoding; encoding; picture processing; high compression ratio; image coding technique; image quality; image reconstruction; primitives database; still pictures; Animation; Assembly; Decoding; Facial features; Forensics; Image coding; Image databases; Image quality; Image segmentation; Spatial databases;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100609