1975/10/30 by John A. Roese, Güner S. Robinson · 1 citation
Computer Science · Mathematics · #Advanced Data Compression Techniques #Advanced Vision and Imaging #Algorithm #Artificial intelligence #Coding (social sciences) #Computer science #Computer vision #Discrete cosine transform #Encoder #Fourier transform #Frame (networking) #Image (mathematics) #Inter frame #Mathematics #Reference frame #Speech coding #Speech recognition #Sub-band coding #Telecommunications #Transform coding #Video Coding and Compression Technologies
paper · doi:10.1117/12.965361
openalex publication_date 1975/10/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Interframe coding of television images encompasses techniques which make use of correlations between pixel amplitudes in successive frames. Intraframe coding techniques that exploit spatial correlations can, in principle, be extended to include correlations in the temporal domain. In this paper, successive frames of digital images are coded using two-dimensional spatial transforms combined with DPCM in the temporal domain. Specific transform techniques investigated are the two-dimensional cosine and Fourier transforms. Due to DPCM encoding in the temporal domain, the hybrid transform/DPCM encoders require storage of only the single previous frame of data. Hardware implementation of the Fourier transform involves manipulation of complex numbers where the cosine transform does not. However, the Fourier transform is attractive because frame-to-frame motion compensation can be introduced directly in the phase plane by application of appropriate phase correction factors. Results are presented in terms of coding efficiency, storage requirements, computational complexity, and sensitivity to channel noise.