Title :
Multichannel techniques in color image enhancement and modeling
Author :
Pitas, I. ; Kiniklis, P.
Author_Institution :
Dept. of Inf., Thessaloniki Univ., Greece
fDate :
1/1/1996 12:00:00 AM
Abstract :
We present novel multichannel methods in two target research areas. The first area is color image modeling. Multichannel AR models have been developed and applied to color texture segmentation and synthesis. The second area is color image equalization, which is performed on the three RGB channels simultaneously, using the joint PDF. Alternatively, equalization at the HSI domain is performed in order to avoid changes in digital image hue. A parallel algorithm is proposed for color image histogram calculation and equalization
Keywords :
autoregressive processes; equalisers; image colour analysis; image enhancement; image texture; parallel algorithms; probability; telecommunication channels; RGB channels; color image enhancement; color image equalization; color image histogram calculation; color image modeling; color texture segmentation; color texture synthesis; digital image hue; joint PDF; multichannel AR models; multichannel methods; multichannel techniques; parallel algorithm; research areas; Bayesian methods; Color; Image processing; Image reconstruction; Image restoration; Lattices; Layout; Object recognition; Shape; Statistical analysis;
Journal_Title :
Image Processing, IEEE Transactions on
