DocumentCode
2597405
Title
Non-embedded image coding techniques based on pixels classification
Author
Mohammed, Usama S. ; Abd-Elhafiez, Walaa M.
Author_Institution
Dept. of Electr. Eng., Assiut Univ., Assiut
fYear
2008
fDate
25-27 Nov. 2008
Firstpage
101
Lastpage
106
Abstract
In this paper, new techniques for the DCT image coding based in pixels classifications are proposed. Two image coding approaches based on the object extraction are presented to study the effect of the object based image coding on the compression quality. Moreover, modification of the traditional JPEG method based on region-of-interest coding is achieved. In the beginning of all approaches, the image is subdivided into a block of pixels with block size of NxN. Firstly; the block must be classified as foreground or background block based on a preprocessing step. The foreground blocks will be compressed via JPEG technique but with significant quantized coefficients and the DC coefficient only from one block in the background is used to code it. The simulation result shows that the proposed technique provides competitive compression performance relative to the traditional JPEG technique.
Keywords
data compression; discrete cosine transforms; edge detection; feature extraction; image classification; image coding; DCT image; JPEG method; compression quality; nonembedded image coding technique; object extraction; pixel classification; region-of-interest coding; Decoding; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image edge detection; Image storage; Pixel; Shape; Streaming media; Transform coding; DCT; Image segmentation; JPEG standard; Quantization; Region of interest (ROI); edge detection; image coding; object extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering & Systems, 2008. ICCES 2008. International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-2115-2
Electronic_ISBN
978-1-4244-2116-9
Type
conf
DOI
10.1109/ICCES.2008.4772975
Filename
4772975
Link To Document