Modeling the television process

Advances in digital signal processing have led to a renewed interest in basic television research. Much of this attention is devoted to the processing of the video signal in the channel, while past research has focused on analytical models of particular television devices. In this thesis, a general spatiotemporal model is developed that includes all important camera, channel, and display processes. Numerical simulation is used to study the effect of system parameters on image quality at the display. TVSIM, a TV simulation program, is developed as a tool for the design and analysis of a general monochrome baseband TV system. It models (1) the image illuminance falling on a camera target, (2) the physical scanning operation of a tube-type or solid-state camera, (3) the generation, processing, and transmission of the video signal, and (4) the physical scanning operation of a tubetype or solid-state display. The final output is an image representing the detailed luminance pattern on a hypothetical display. This image may be further processed by a model of the human visual system, or it may be compared with other processed images. TVSIM and other simulation software are used to study a number of basic television processes. Several charge scanning models are developed and compared; it is shown that destructive readout in camera tubes enhances high-frequency detail while introducing phase distortion. The effect of camera and display apertures on image quality is investigated. Simulation results show how physically different camera lag processes can yield similar lag responses. Temporal integration patterns are used to explain and model the motion rendition characteristics of common imaging devices. Standard, extended-definition, and high-definition TV systems are simulated and compared. Finally, two adaptive interpolation methods for television are described. One method uses Gaussian beam shaping to reduce scan line visibility; the other uses digital contour interpolation to reduce aliasing. Thesis Supervisor: William F. Schreiber, Professor of Electrical Engineering * AT&T Bell Laboratories Scholar -----'--111 ---

[1]  E.W. Engstrom,et al.  A Study of Television Image Characteristics , 1933, Proceedings of the Institute of Radio Engineers.

[2]  V.K. Zworykin The Iconoscope - A Modern Version Of The Electric Eye , 1934, Proceedings of the IEEE.

[3]  P. Mertz,et al.  A theory of scanning and its relation to the characteristics of the transmitted signal in telephotography and television , 1934 .

[4]  Donrad G. Fink Principles of Television Engineering , 1941, Nature.

[5]  C. Frederick Wolcott Problems in Television Image Resolution , 1941 .

[6]  George E. Anner Elements of television systems , 1951 .

[7]  Beam temperature, discharge lag and target biasing in some television pick-up tubes , 1958 .

[8]  R. G. Neuhauser Sensitivity and Motion Capturing Ability of Television Camera Tubes , 1959 .

[9]  W. F. Schreiber,et al.  The effect of scanning speed on the signal/noise ratio of camera tubes , 1964 .

[10]  S. Nudelman The detectivity of electron beam scanning types of image tubes. , 1967, Applied optics.

[11]  Pierre Mertz,et al.  The Resolving-Power Functions and Quantum Processes of Television Cameras , 1968 .

[12]  J. Goodman Introduction to Fourier optics , 1969 .

[13]  M. H. Crowell,et al.  The silicon diode array camera tube , 1969 .

[14]  L. Selke Mathematical model to describe vidicon operation , 1969 .

[15]  J. A. Hall Evaluation of Signal-Generating Image Tubes , 1971 .

[16]  A. Danforth Cope,et al.  The Television Camera Tube as a System Component , 1971 .

[17]  Richard R. Legault Visual Detection Process for Electrooptical Images: Man—The Final Stage of an Electrooptical Imaging System , 1971 .

[18]  O. Schade Electron Optics and Signal Readout of High-Definition Return-Beam Vidicon Cameras , 1971 .

[19]  R. Redington Introduction to the Vidicon Family of Tubes , 1971 .

[20]  Walter Lawson Electrooptical System Evaluation , 1971 .

[21]  B. P. Miller,et al.  Performance evaluation of the two-inch return-beam vidicon three-camera subsystem. , 1972 .

[22]  G. F. Simmons Differential Equations With Applications and Historical Notes , 1972 .

[23]  A. Rose,et al.  Vision: human and electronic , 1973 .

[24]  Otto H. Schade Image Reproduction by a Line Raster Process , 1973 .

[25]  A. Goodman An approximate model of the beam-blocking contact in a PbO vidicon , 1973 .

[26]  D. E. Pearson,et al.  Transmission and display of pictorial information , 1975 .

[27]  Ernest L. Hall,et al.  A Nonlinear Model for the Spatial Characteristics of the Human Visual System , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[28]  C. R. Carlson,et al.  Visibility of Displayed Information , 1978 .

[29]  R. Haber,et al.  Visual Perception , 2018, Encyclopedia of Database Systems.

[30]  Robert G. Neuhauser The Saticon™ Color Television Camera Tube , 1978 .

[31]  Jack M. Younse,et al.  The Modular Charge-Coupled Device (CCD) Camera , 1979, Optics & Photonics.

[32]  Howard E. Murphy Performance Characteristics Of A Producible NTSC-Compatible Charge-Coupled Device (CCD) Image Sensor , 1979, Optics & Photonics.

[33]  S K Park,et al.  Aliasing and blurring in 2-D sampled imagery. , 1980, Applied optics.

[34]  John Newland Ratzel The discrete representation of spatially continuous images , 1980 .

[35]  Robert G. Neuhauser Lag Reduction and Lag Characteristics of Television Camera Tube Signals , 1981 .

[36]  A. Franken A New High Resolution Plumbicon Tube , 1981 .

[37]  Michael Potmesil,et al.  A lens and aperture camera model for synthetic image generation , 1981, SIGGRAPH '81.

[38]  K. Blair Benson SMPTE Historical Note: A Brief History of Television Camera Tubes , 1981 .

[39]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[40]  M. Kurashige Effect of self-sharpening in low-velocity electron-beam scanning , 1982, IEEE Transactions on Electron Devices.

[41]  T. Schut Resolution Measurements on Camera Tubes , 1983 .

[42]  G. C. Roberts The improved display of 625-line television pictures: Adaptive interpolation , 1983 .

[43]  S. Kato,et al.  Performance Characteristics of Improved Pickup Tube: New Diode Gun Saticon® , 1983 .

[44]  Stewart J. Peppiatt,et al.  The 30mm High-Resolution Diode Gun Leddicon , 1984 .

[45]  Takahiko Fukinuki,et al.  A Motion-Adaptive High-Definition Converter for NTSC Color TV Signals , 1984 .

[46]  K. Wong Transient Oscillations and Noise in the Reception of TV Signals , 1984, IEEE Transactions on Broadcasting.

[47]  E. Dubois,et al.  The sampling and reconstruction of time-varying imagery with application in video systems , 1985, Proceedings of the IEEE.

[48]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[49]  S. Biyiksiz,et al.  Multirate digital signal processing , 1985, Proceedings of the IEEE.

[50]  R.E. Flory Image acquisition technology , 1985, Proceedings of the IEEE.

[51]  L. John,et al.  Enhanced Television — A Progressive Experience , 1985 .

[52]  Thomas M. Gurley,et al.  Resolution Considerations in Using CCD Imagers in Broadcast-Quality Cameras , 1985 .

[53]  Carl-Erik Fröberg,et al.  Numerical mathematics - theory and computer applications , 1985 .

[54]  C. Infante On the resolution of raster-scanned CRT displays , 1985 .

[55]  Victor T. Tom,et al.  Adaptive Filter Techniques For Digital Image Enhancement , 1985, Photonics West - Lasers and Applications in Science and Engineering.

[56]  W. W. Frame Minimum Resolvable and Minimum Detectable Contrast Prediction for Vidicon Cameras , 1985 .

[57]  Detlef Teichner Quality Improvement by Adaptive Inter-/Intraframe Processing in Pal TV Receivers , 1985, IEEE Transactions on Consumer Electronics.

[58]  M. G. Collet,et al.  Solid State Image Sensors , 1986, Other Conferences.

[59]  Larry C. Palmer,et al.  Simulation of TV Transmission Over the Communications Satellite Channel , 1986, IEEE Trans. Commun..

[60]  Raymond N. J. Veldhuis,et al.  Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes , 1986, IEEE Trans. Acoust. Speech Signal Process..

[61]  A. P. Pica,et al.  Perceptual analysis and simulation of color monitor displays , 1987 .