Optimization of pixel performance in cmos image sensors for computational photography

Abstract

Current image denoising systems use field programmable gate newlinearray (FPGA) hardware platforms to achieve speed and efficiency, which are newlinecritical in real-time applications, to eliminate numerous causes of digital newlineimage noise. Image denoising on these platforms, on the other hand, is subject newlineto ongoing innovation in order to provide the best denoising performance newlinepossible. Continuously expanding demand for image processing devices that newlinecan combine high-resolution with low-power sensing, especially compression. newlineImages can be captured and processed simultaneously using CMOS newlinesensors that incorporate both image sensing and processing capabilities, newlineparticularly the capacity to compress images. Object recognition and image newlineclassification require high-quality images, and CMOS image sensors with newlinehigh resolution/speed fill that need. Deep learning (DL) models have made newlinesignificant progress in the area of image classification newline