Abstract :
This paper studies video halftoning that renders a digital video sequence onto display devices, which have limited intensity resolutions and color palettes, by trading the spatiotemporal resolution for enhanced intensity/color resolution. This trade is needed when a continuous tone video is not necessary or not practical for video display, transmission, and storage. In particular, the quantization error of a pixel is diffused to its spatiotemporal neighbors by separable one-dimensional temporal and two-dimensional spatial error diffusions. Motion-adaptive gain control is employed to enhance the temporal consistency of the visual patterns by minimizing the flickering artifacts. Experimental results of halftone and colortone videos are demonstrated and evaluated with various halftoning techniques.
Keywords :
adaptive control; gain control; image colour analysis; image enhancement; image resolution; image sequences; quantisation (signal); video signal processing; colortone videos; motion-adaptive gain control; quantization error; spatiotemporal resolution; video halftoning; video sequence; Color; Humans; Image sequences; Iterative algorithms; Large screen displays; Quantization; Spatial resolution; Spatiotemporal phenomena; Sun; Video sequences; Digital halftoning; human visual system; motion estimation; spatiotemporal error diffusion; temporal flicker; video rendering and display; Algorithms; Color; Colorimetry; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Signal Processing, Computer-Assisted; Video Recording;
