The process to ensure a fixed and desired response from a color display generally consists of a per-channel calibration transform combined with a multi-dimensional characterization transformation. In this paper We focus on the former, i.e., the channel calibration. Conventional one-dimensional channel calibration strategies are inadequate for high resolution LCD displays because of inter-channel crosstalk. We address this problem by developing a color calibration strategy for a four primary LCD display, based on a two dimensional structure for channel calibration, which allows for simultaneously meeting the dual objectives of perceptual linearization of individual channels and gray balance along the device gray axes, despite inter-channel crosstalk. The two-dimensional nature of the transform represents a good balance between the dual objectives of low complexity and accurate control of key attributes of the displayed colors via channel calibration and experimental results demonstrate that the proposed scheme accomplishes its objectives offering a significant improvement over the per channel calibration for our four primary display system.

Compared to cathode-ray tube (CRT) devices, the current liquid crystal display (LCD) devices have advantage on many aspects but disadvantage on displaying motion contents. LCD motion blur is caused jointly by the slow LCD's temporal response and the hold-type LCD's rendering method together with the motion pursuing function of human visual system (HVS). Although LCD motion blur has been addressed extensively in the literature, there is no systematic analysis. In this paper, a general LCD motion blur model, based on the sampling and reconstruction theory, is developed. This model, covering LCD and HVS, provides a systematic tool for quantitatively analyzing the LCD motion blur problem associated with any current and emerging LCD rendering technologies.

One of the common artifacts for three-row charge-coupled device (CCD) desktop scanners is color misregistration between the red, green, and blue layers of an image. This causes both color fringing and blur in the resulting scanned images, which we quantify by linear system theory analysis. Knowing the bandwidth and peak sensitivity asymmetries in the opponent color representation of the visual system, we develop a method to reduce the color misregistration artifact by attempting to capture signals in an approximate opponent color space. To facilitate separate capture of the luminance and chrominance signals, we use a new sensor arrangement. The luminance signal (Y) is captured at the full resolution using one row of the three-row CCD linear arrays. The first chrominance signal is captured on another row with a interleaved half resolution red (R) and half resolution luminance sensor elements and the second chrominance signal is similarly captured on a third row using blue (B) and luminance. Since each luminance and chrominance signal is isolated on a single row and since there is no registration error within a row, color misregistration is theoretically prevented in luminance as well as in the chrominance signals. Simulation shows that the new method does reduce blur and the visibility of color fringing. Because residual luminance and chrominance misregistration may occur we conduct a psychophysical experiment to judge the improvement in the scanned image quality. The experiment shows that this new capture scheme can significantly reduce the perception of misregistration artifacts. Finally, we use an image processing model of the visual system to quantify the visible differences due to misregistration and compare these to the psychophysical results.