An Image Deblurring Processor for Chromatic Aberration Based on the Primal-Dual Algorithm with Cross-Channel Prior

Modern camera technology adopts complicated lens systems to compensate for chromatic aberration. To reduce the cost and complexity of camera lenses, an option is to use a simple lens solution and recover blurry images computationally. However, deblurring algorithms often have low efficiency in time and consume a lot of power. Therefore, using the advantages of hardware computing, we have designed an image deblurring processor for the FlexISP algorithm. In the proposed hardware, two channels can be deblurred concurrently. We implemented the chip with TSMC 40 nm technology. The speed is 4.87 times faster than that of the software version, and it consumes only 118 mW when operating at 200 MHz. In addition, we propose a splitting method that allows the processor to deblur large-sized images. This method is hardware-friendly since it requires less memory when implemented with ASIC.