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GRAY-SCALE RESOLUTION ENHANCEMENT B. K. Gunturk, Y. Altunbasak, and R. Mersereau

B. K. Gunturk, Y. Altunbasak, and R. Mersereau

Center for Signal and Image Processing
Georgia Institute of Technology
Atlanta, GA 30332, USA
Abstract - The number of bits assigned to represent the color intensity at image pix-
els is usually referred as the bit depth. When the bit depth is not sufficient, images suffer
from ridge-like structures known as false contours. Bit-depth limitations become impor-
tant when low-contrast details are required, as in medical imaging, aerial/satellite photog-
raphy, and high-quality scanning applications. In this paper, we investigate a method for
increasing bit depth. Specifically, we show that when a sequence of video frames is avail-
able, then it is possible to achieve a higher bit depth through a projections onto convex
sets (POCS) based reconstruction method.
When images are digitized, a certain number of bits is assigned to each pixel to
represent its intensity. The number of bits, the bit depth, determines the number of
gray levels between the minimum and maximum intensities that the imaging device
can capture. There will be a loss of gray-scale resolution if the bit depth is not suffi-
cient. When a set of low bit-depth images is available that are slightly different from


Source: Altunbasak, Yucel - School of Electrical and Computer Engineering, Georgia Institute of Technology


Collections: Engineering