Two Dimensional Digital Signal Processing

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    Two Dimensional Digital Signal

    Processing

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    Many signals are inherently two dimensional

    Photographic data, weather photos, X-rays

    Generally spatial signals

    Basic ideas of 1D signal processing can be

    extended to 2D case

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    2D Signals

    Notation used to represent 2D variables

    where are integer variables

    is short hand version of 2D signal

    Perspective plots to represent 2D signalsgraphically

    Third dimension represents magnitude

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    2D Signals

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    2D Signals

    Useful 2D sequences

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    2D Signals

    2D Digital Impulse Or Unit Sample

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    2D Signals

    2D Digital Step

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    2D Signals

    2D Step is related to 2D Impulse by the

    following relation

    For 1D signal the relation is

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    2D Signals

    Exponential and Sinusoidal signals

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    2D Signals

    2D Exponential signal

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    2D Systems

    Convolution Theorem

    For LTI Systems Convolution theorem is valid

    Relation Input & Impulse response to output is

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    2D Systems

    For a system with Impulse response and input

    Output is

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    2D Systems

    Direct evaluation of Convolution is difficult since

    cannot be factored into

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    2D Systems

    Causality and Separability

    A 2D filter is causal or realizable if its impulse

    response satisfies the property

    And separable if its impulse response can be

    factored into a product of 1D responses

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    2D Systems

    Advantage of separable filters - 2D convolution can

    be carried out as a sequence of 1D convolutions

    [ ] for each value of

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    2D Systems

    If input sequence is also separable

    where

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    2D Systems

    A 2D filter is stable only if the impulse

    response satisfies the constraint

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    2D Systems

    2D linear Difference Equations

    To describe an LTI 2D filter

    The constant coefficients

    plus a set of initial conditions specify the filter

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    2D Systems

    Recursion relation for assuming

    is

    -

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    1D Fourier series relations

    With sinusoidal input to a 2D system

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    Fourier series & frequency domain analysis

    Output of the system is

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    Frequency response of the system is a Fourier

    series representation

    with the coefficients given by

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    The frequency response is doubly periodic

    Find the Fourier series coefficients, of

    the filter with frequency response

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    Frequency response = 1 in hatched

    area

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    If the frequency response can be decomposed

    to the product of a term inimpulse response will be a product of a term

    in