Three-dimensional perception improvement using sharpness adjustment and hardware implementation

This paper presents a stereoscopic perception improvement algorithm using depth-adaptive sharpness adjustment in 3D video sequences and shows the FPGA implementation results. The first step of the proposed algorithm is to estimate the depth information of an input stereo video on a block basis. Second, the objects in the input video are segmented according to their depths. Third, the sharpness of the foreground objects is enhanced and the background objects are maintained or weakened. The simulation results show that the proposed algorithm can improve stereoscopic perception without intentional depth adjustment. In addition, we designed the hardware architecture of the proposed algorithm, and implemented it on a general-purpose FPGA board.