Identification and replacement of defective pixel based on Matlab for IR sensor

Abstract

Infrared focal plane arrays (IRFPAs) usually contain many defective pixels. These defective pixels have to be corrected because those can significantly impair the performance of infrared image of IRFPAs. As is known to all, infrared image acquisition and analysis based on Matlab can be helpful to identify and correct defective pixels. In this paper, we proposed a novel method to identify and correct defective pixels. In the phase of identification, the defective pixels could be identified by the algorithms combined with median filtering algorithm and improved standard deviation algorithm. In the phase of correction, proportion-spatial defective pixel replacement (PSDPR) algorithm was introduced to replace the defective pixels, and this method reduced the difficulty of replacement originating from the clustering phenomenon of defective pixels. In addition, an experiment of verification was done, and showed the proposed scheme worked effectively.Keywords infrared focal plane arrays (IRFPAs), infrared image, median filtering algorithm, improved standard deviation algorithm

A CMOS Image Readout Circuit with On-Chip Defective Pixel Detection and Correction

“…In order to simplify the hardware implementation of the algorithm, we propose the following changes to the original algorithm: We use only four pixels in the -pixel neighborhood to compute the estimated value of , as follows: Instead of using computation to determine whether is the pixel with the maximum or minimum value in the neighborhood, we mark as possibly dead when and possibly hot when , with and [ 18 , 54 , 55 ]. As shown in Figure 2 a, when and Equation ( 6 ) is true, then Equation ( 7 ) is always true.…”

“…Instead of using computation to determine whether is the pixel with the maximum or minimum value in the neighborhood, we mark as possibly dead when and possibly hot when , with and [ 18 , 54 , 55 ].…”