Defect Detection is a critical process for image sensor production. Many systems has been designed
for low-end CMOS sensors in applications such as mobile phone or webcam. While the industry is
stepping into the hi-end application filed such as motion picture, higher performance sensors are
produced with the improvement of technologies which have different quality standard with those
low-end counterparts. In this paper, a new blemish detection scheme for hi-end CMOS image sensor
is proposed. The defective pixels, columns/rows and clusters on sensors are detected using different
image processing algorithms. The criteria and methods are adjusted according to the different
regions of the image sensor.The tested sensors are then classified according to the test results. The
detection data are also stored for the future video processing purpose. The efficiency of the scheme
is proven by experiments conducted on a high speed high resolution CMOS sensor.
In many applications, the illuminant condition of color reproductions is different from that of targets. To achieve the same color perceptions, reproduced colors should be adjusted according to the changes of reference whites determined by the illuminants. In this paper, we consider this color reproduction problem which is also subject to material constraints. By material constraints we mean any constraints that are applied to the amount of inks, lights, voltages, and currents that are used in the generation of color. Color reproduction that is subject to material constraints is called the relaxed color reproduction, because the reproduced colors may not match the targets exactly. An algorithm that is suitable for this task is the method of vector space projections (VSP). In our work, VSP method is directly applied to the control signals of devices. The effects of illuminant variances are also studied. In order to use VSP for constrained color reproduction, we use a novel approach to convert the non-linear constraints in the CIE-Lab space into simpler linear forms. Experimental results demonstrate the feasibility of this method.
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