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Complex Pixel Design

The combination of tight requirements, and device uniformity and instability issues, for both organic and a-Si transistors, have given rise to more complex pixel [Pg.369]


Additional discussion and analysis of the use of OTETs for AMOLED displays can be found in the literature [56,57], To date, only the two TFT pixel has been implemented with OTFTs, although a paper design for a current-programmed OTFT AMOLED pixel has been presented [57], It is only a matter of time before the more complex pixels that have been investigated using poly-Si and a-Si TFTs are tested with OTFTs. [Pg.589]

Quantization can be optimized for certain distributions of brightness levels, such as Gaussian and doubleexponential. Another class of techniques, known as moment-preserving quantizers, does not make specific assumptions about distributions. Instead, the quantizers are designed so that low-order moments of the brightness before and after quantization are required to be equal. These scalar quantizers do not exploit the correlation between adjacent pixels. Vector quantization (VQ), in which a small array of pixels is represented by one of several standard patterns, has become a popular method of image compression on its own merits, as well as in combination with techniques such as subband or wavelet decomposition. A major difficulty with VQ techniques is their computational complexity. [Pg.139]

Level 5 (genius) pixels (thousands of transistors) have complexities, in general, above a thousand active devices, a level of complexity sufficient for implementing application-specific integrated circuits (ASICs) and microprocessors. But this functionality level has problems not faced by the lower levels. First, for free-space optical interconnection, optical I/Os should be arranged in a structured two-dimensional pattern in order to effectively use the two-dimensional nature of imaging optics. On the other hand, computer-aided design (CAD) tools for elec-... [Pg.288]

Fixed-size image window-evolving factor analysis (FSIW-EFA) is an evolution of the local rank algorithm fixed size moving window-EFA [111], particularly designed for the study of the local pixel complexity in images [112]. To do so, two main ideas are taken into account the need to divide the image into small areas to get local information and the need to preserve the 2D or 3D spatial... [Pg.83]

From these days, the optical simulation of complex optical compensation films for designing high-quality displays became essential [75]. In the similar way, the design of the electrode slits and protrusions used in the pixel division method in the vertical alignment (VA) mode has been carried out by continuum simulation [76]. [Pg.343]


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