Title :
Look-up-table based halftoning algorithm
Author :
Li, Pingshan ; Allebach, Jan P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
Screening is a low complexity halftoning algorithm that has been widely used in many applications. However, screen design requires that the stacking property be obeyed. This constraint limits the texture quality at each gray level. We present a look-up-table based halftoning algorithm for which the stacking constraint is not necessarily satisfied; but the binary patterns for individual levels are still correlated. The binary patterns are designed level by level using the direct binary search method. The algorithm improves halftone image quality compared with screening
Keywords :
computational complexity; correlation methods; image texture; search problems; table lookup; correlated binary patterns; direct binary search method; gray level; halftone image quality; look-up-table based halftoning algorithm; low complexity halftoning algorithm; screen design; screening; stacking constraint; stacking property; texture quality; Cost function; Humans; Image quality; Iterative algorithms; Iterative methods; Optimization methods; Satellite broadcasting; Search methods; Stacking; Visual system;
Journal_Title :
Image Processing, IEEE Transactions on
