Abstract: An image calibration method applied to a wide-angle image and executed by an image calibration apparatus includes applying primary lens distortion correction for the wide-angle image to generate a corrected image, segmenting an foreground image from the corrected image to generate a background image, applying secondary distortion correction for the foreground image based on the pre-defined object to generate a calibrated foreground image, fusing the background image with the calibrated foreground image to generate a fused image, detecting at least one residual empty pixel not overlapped by the calibrated foreground image within the fused image, and utilizing a machine learning algorithm to fill the at least one residual empty pixel of the fused image by extending the background image to provide an output image. The foreground image contains feature pixels relate to a pre-defined object and the background image has empty pixels corresponding to the foreground image.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire input data used to generate an image, a conversion unit configured to generate intermediate data by performing data conversion on the input data with a first data conversion filter activated as a first process, and to generate image data by performing data conversion on the intermediate data with a second data conversion filter activated as a second process different from the first process, and an output unit configured to output the image data.