Abstract:
Motion Blur due to the relative motion between the camera and object can seriously degrade image quality. We
present an FPGA based blur detection and correction algorithm which is implemented on lop of a configurable
soft-processor based architecture. The system consists of two main modules. The blur detection module identifies
the blur length and angle, and the restoration module uses regularized inverse filtering to remove the blur. The
Processing algorithms are implemented as separate cores on the FPGA fabric where the soft processor core is only
used for managing system configuration. The system can achieve a frame rate of 15fps for a 720p HD video strea
