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US5113256A Expired / Lapsed US ⏱️ 0.0 years remaining

Method of perceptually modeling a video image signal

Assignee: Zenith Electronics LLC
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Filing: 1991-02-08
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Granted: 1992-05-12
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Expires: 2011-02-08
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Abstract

Abstract A video image signal is transform coded to derive a plurality of blocks of transform coefficients, the coefficients of each block being separated into horizontal, vertical and diagonal spatially related regions. A plurality of values each representing the degree to which a portion of the video image is characterized by a respective image related perceptual characteristic are derived in responsee to the estimated energy in the three regions. The derived perceptual values are combined and weighted to provide a single output value corresponding to each coefficient block.

Inventors

  • 👤 Richard W. Citta
  • 👤 Stephen M. Dicke

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-30 15:59
CPC Classifications
H; H04; H04N; H04N19/00; H04N19/42; H04N19/423; H04N19/10; H04N19/102; H04N19/124; H04N19/126; H04N19/134; H04N19/136; H04N19/14; H04N19/154; H04N19/169; H04N19/17; H04N19/176; H04N19/18; H04N19/48; H04N19/60; H04N19/132; H04N19/146; H04N19/152

Claims Analysis

Total Claims: 26
Claim 1
Independent Claim 128 words
A method of modeling a signal, representing a video image comprising the steps of: deriving a plurality of groups of spectral coefficients each representing a respective spatial portion of said video image; separating the coefficients of each of said groups into a plurality of subgroups, the coefficients of each of said subgroups representing a series of spatially related frequencies occurring in a selected direction; estimating the energy characterizing each of said subgroups; deriving from the subgroup energy estimations of each of said groups a plurality of values each representing the degree to which the corresponding portion of said video image is characterized by a respective image related perceptual characteristic; and combining said plurality of values to provide an output value corresponding to each of said groups of coefficients.
Claim 2
Independent Claim 128 words
A method of modeling a signal, representing a video image comprising the steps of: deriving a plurality of groups of spectral coefficients each representing a respective spatial portion of said video image; separating the coefficients of each of said groups into a plurality of subgroups, the coefficients of each of said subgroups representing a series of spatially related frequencies occurring in a selected direction; estimating the energy characterizing each of said subgroups; deriving from the subgroup energy estimations of each of said groups a plurality of values each representing the degree to which the corresponding portion of said video image is characterized by a respective image related perceptual characteristic; and combining said plurality of values to provide an output value corresponding to each of said groups of coefficients.
Claim 3
Independent Claim 120 words
A method of modeling a signal representing a video image comprising the steps of: deriving a plurality of groups of spectral coefficients each representing a respective spatial portion of said video image; separating the coefficients of each of said groups into a plurality of subgroups, the coefficients of each of said subgroups representing a series of spatially related frequencies occurring in a selected direction; deriving from the subgroups of each of said groups of coefficients a plurality of values each representing the degree to which the corresponding portion of said video image is characterized by a respective image related perceptual characteristic; and combining said plurality of values to provide an output value corresponding to each of said groups of coefficients.
Claim 4
Independent Claim 120 words
A method of modeling a signal representing a video image comprising the steps of: deriving a plurality of groups of spectral coefficients each representing a respective spatial portion of said video image; separating the coefficients of each of said groups into a plurality of subgroups, the coefficients of each of said subgroups representing a series of spatially related frequencies occurring in a selected direction; deriving from the subgroups of each of said groups of coefficients a plurality of values each representing the degree to which the corresponding portion of said video image is characterized by a respective image related perceptual characteristic; and combining said plurality of values to provide an output value corresponding to each of said groups of coefficients.
Claim 5
Dependent Claim 31 words
The method of claim 2 wherein said step of deriving said plurality of values comprises estimating the energy characterizing each of said subgroups and sorting said energy estimations according to magnitude.
Claim 6
Dependent Claim 40 words
The method of claim 3 including deriving at least one of said values for a current coefficient group as a function of the subgroup energy estimations of a plurality of coefficient groups in the immediate vicinity of said current group.
Claim 7
Dependent Claim 50 words
The method of claim 4 wherein said at least one value is derived as a function of the largest energy estimation characterizing the subgroups of said current group and the energy estimations of the corresponding subgroups of a plurality of coefficient groups in the immediate vicinity of said current group.
Claim 8
Dependent Claim 48 words
The method of claim 3 wherein a first of said values is derived by processing said subgroup energy estimations for determining the degree to which the portion of said video image corresponding to each of said coefficient groups comprises a boundary between distinct portions of said video image.
Claim 9
Dependent Claim 40 words
The method of claim 3 wherein a second of said values is derived by processing said subgroup energy estimations for determining the degree to which each of said coefficient groups is characterized by energy primarily in one of said subgroups.
Claim 10
Dependent Claim 40 words
The method of claim 3 wherein a third of said values is derived by processing said subgroup energy estimations for determining the degree to which each of said coefficient groups is characterized by energy primarily in two of said subgroups.
Claim 11
Dependent Claim 37 words
The method of claim 3 wherein a fourth of said values is derived by processing said subgroup energy estimations for determining the degree to which each of said coefficient groups is characterized primarily by low-level AC energy.
Claim 12
Dependent Claim 19 words
The method of claim 2 including employing a piece-wise linear model to derive at least one of said values.
Claim 13
Dependent Claim 42 words
The method of claim 2 including providing at least one of said values at a first constant level for magnitudes thereof less than a first threshold level and at a second constant level for magnitudes thereof greater than a second threshold level.
Claim 14
Dependent Claim 34 words
The method of claim 11 including providing said at least one value as a function which varies between said first and second constant levels for magnitudes thereof between said first and second threshold levels.
Claim 15
Dependent Claim 17 words
The method of claim 11 wherein said first constant level is greater than said second constant level.
Claim 16
Dependent Claim 30 words
The method of claim 3 including weighting said output value as a function of said subgroup energy estimations to provide a weighted output signal corresponding to each of said subgroups.
Claim 17
Dependent Claim 30 words
The method of claim 14 including combining said weighted output signals to provide a succession of weighted output values each related to a respective coefficient of the corresponding coefficient group.
Claim 18
Independent Claim 172 words
A method of modeling a signal representing a video image, comprising the steps of: deriving a plurality of groups of spectral coefficients each representing a respective spatial portion of said video image; separating the coefficients of each of said groups into a plurality of subgroups, the coefficients of each of said subgroups representing a series of spatially related frequencies occurring in a selected direction; estimating the energy characterizing each of said subgroups; processing said subgroup energy estimations to derive a plurality of values each representing the degree to which the corresponding portion of said video image is characterized by a respective image related perceptual characteristic; combining said plurality of values to provide an output value corresponding to each of said groups of coefficients; weighting said output value as a function of said subgroup energy estimations to provide a weighted output signal corresponding to each of said subgroups; and combining said weighted output signals to provide a succession of weighted output values each related to a respective coefficient of the corresponding coefficient group.
Claim 19
Independent Claim 172 words
A method of modeling a signal representing a video image, comprising the steps of: deriving a plurality of groups of spectral coefficients each representing a respective spatial portion of said video image; separating the coefficients of each of said groups into a plurality of subgroups, the coefficients of each of said subgroups representing a series of spatially related frequencies occurring in a selected direction; estimating the energy characterizing each of said subgroups; processing said subgroup energy estimations to derive a plurality of values each representing the degree to which the corresponding portion of said video image is characterized by a respective image related perceptual characteristic; combining said plurality of values to provide an output value corresponding to each of said groups of coefficients; weighting said output value as a function of said subgroup energy estimations to provide a weighted output signal corresponding to each of said subgroups; and combining said weighted output signals to provide a succession of weighted output values each related to a respective coefficient of the corresponding coefficient group.
Claim 20
Dependent Claim 48 words
The method of claim 16 wherein a first of said values is derived by processing said subgroup energy estimations for determining the degree to which the portion of said video image corresponding to each of said coefficient groups comprises a boundary between distinct portions of said video image.
Claim 21
Dependent Claim 40 words
The method of claim 16 wherein a second of said values is derived by processing said subgroup energy estimations for determining the degree to which each of said coefficient groups is characterized by energy primarily in one of said subgroups.
Claim 22
Dependent Claim 40 words
The method of claim 16 wherein a third of said values is derived by processing said subgroup energy estimations for determining the degree to which each of said coefficient groups is characterized by energy primarily in two of said subgroups.
Claim 23
Dependent Claim 37 words
The method of claim 16 wherein a fourth of said values is derived by processing said subgroup energy estimations for determining the degree to which each of said coefficient groups is characterized primarily by low-level AC energy.
Claim 24
Dependent Claim 42 words
The method of claim 16 including providing at least one of said values at a first constant level for magnitudes thereof less than a first threshold level and at a second constant level for magnitudes thereof greater than a second threshold level.
Claim 25
Dependent Claim 34 words
The method of claim 21 including providing said at least one value as a function which varies between said first and second constant levels for magnitudes thereof between said first and second threshold levels.
Claim 26
Dependent Claim 17 words
The method of claim 22 wherein said first constant level is greater than said second constant level.

References Cited (Backward Citations)

US4802232A Cited
US4959870A Cited
US4774574A Cited
US4780761A Cited

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Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
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