Title :
Classified JPEG coding of mixed document images for printing
Author :
Ramos, Marcia G. ; De Queiroz, Ricardo L.
Author_Institution :
Cornell Univ., Ithaca, NY, USA
fDate :
4/1/2000 12:00:00 AM
Abstract :
This paper presents a modified JPEG coder that is applied to the compression of mixed documents (containing text, natural images, and graphics) for printing purposes. The modified JPEG coder proposed in this paper takes advantage of the distinct perceptually significant regions in these documents to achieve higher perceptual quality than the standard JPEG coder. The region-adaptivity is performed via classified thresholding being totally compliant with the baseline standard. A computationally efficient classification algorithm is presented, and the improved performance of the classified JPEG coder is verified
Keywords :
adaptive signal processing; code standards; data compression; document image processing; image classification; image coding; printing; telecommunication standards; baseline standard; classified JPEG coding; classified thresholding; computationally efficient classification algorithm; graphics; mixed document images; mixed documents compression; modified JPEG coder; natural images; perceptual quality; perceptually significant regions; performance; printing; region-adaptivity; standard JPEG coder; text; Classification algorithms; Code standards; Graphics; Image coding; Image resolution; Printing; Quantization; Rendering (computer graphics); Streaming media; Transform coding;
Journal_Title :
Image Processing, IEEE Transactions on
