Iterative inverse halftoning based on texture-enhancing deconvolution and error-compensating feedback

► An input halftoned image is low-pass-filtered to create initially blurred image. ► A joint of the deconvolution and denoising is conducted to give the restored image. ► The initially blurred image is iteratively updated through an error feedback system. ► The restored image can be upgraded by enhancing fine texture and reducing noisy dots.