Title :
Lossy compression of clustered-dot halftones
Author :
Kam, Rick A Vander ; Gray, Robert M.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
We propose a coding algorithm for lossy compression of digital halftones produced by clustered-dot dithering. Our scheme is based on pixel ordering and run-length coding, and has small memory and computation requirements. Data reduction techniques give an efficient, but imperfect, representation of the run lengths, allowing low-rate coding along with a good approximation to the original dot structure. Experiments with 1024×1024 images, 8×8 dithering cells, and 600 dpi printing have shown that the algorithm maintains good image quality while achieving rates of about 0.1 bits per pixel
Keywords :
Huffman codes; data compression; data structures; image coding; image representation; printing; runlength codes; Huffman codes; algorithm; clustered-dot dithering; clustered-dot halftones; coding algorithm; data reduction techniques; digital halftones; dithering cells; dot structure approximation; experiments; image coding; image quality; lossy compression; low-rate coding; pixel ordering; printing; run-length coding; small memory requirement; Clustering algorithms; Decoding; Facsimile; Gray-scale; Image coding; Image quality; Information systems; Matrix decomposition; Pixel; Printing;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413729