Patent US5394192A successfully refreshed from Google Patents.
← Back to Patent Explorer
US5394192A Expired / Lapsed US ⏱️ 0.0 years remaining

Method of measuring the noise in an active video image and device for implementing the method

Assignee: THOMSON CONSUMER ELECTRONIC
•
Filing: 1991-09-27
•
Granted: 1995-02-28
•
Expires: 2011-09-27
📄 Original PDF 🌐 Google Patents 🔄 Sync Now

Abstract

Abstract A method of measuring the noise in an active video image. During a given processing period, for each pixel of a video image considered to be stationary, the difference f d between the video signal corresponding to this pixel and the video signal corresponding t the pixel at the same spatial position in a preceding image is calculated. The square of the absolute value of the difference is calculated so as to obtain a value |f d | 2 , and the value |f d | 2 is added to previously obtained values so as to form a sum value Σ|f d | 2 . The above operations are repeated until the number of pixels processed is equal to a given threshold value N 0 , or until the end of the processing period. At the end of the processing period, if the number of pixels processed is equal to the threshold value, the value Σ|f d | 2 is used to determine a reference point giving a new noise-reduction coefficient k min , otherwise the former reference point is kept. The invention applies especially to television.

Inventors

  • 👤 Andrew Hackett

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-09 15:50
CPC Classifications
H; H04; H04N; H04N5/00; H04N5/14; H04N5/21

Claims Analysis

Total Claims: 15
Claim 1
Independent Claim 299 words
Method of adjusting a noise-reduction coefficient K in an active video image, characterised by the following steps: during a given processing period, detecting movement and measuring noise in the video image in parallel, a measurement of the noise being obtained for each pixel of the video image considered to be stationary, using a movement detector processing successive images, by calculating a difference f d between an unprocessed video signal corresponding to this pixel, and a video signal processed with a noise-reduction coefficient K corresponding to the pixel at a same spatial position in a preceding video image; calculating the square of the absolute value of the difference so as to obtain a value |f d | 2 ; adding the value |f d | 2 to other values |f d | 2 already obtained for the pixels defined as stationary, so as to form a sum value Σ|f d | 2 ; recommencing the above operations until a number of pixels processed is equal to a first threshold value N 0 , or until the end of the processing period; at the end of the above operations, when the number of pixels processed is at least equal to the first threshold value, using the sum value Σ|f d | 2 to determine a value of a reference point corresponding to the movement as a function of the noise, this value giving as a function of a transfer curve in which the noise-reduction coefficient is a function of the values at the output of the movement detector, a new value for the noise-reduction coefficient K, otherwise a former value of the noise-reduction coefficient K is kept; and using the value determined as the noise-reduction coefficient K to reduce noise in the unprocessed video image to produce a noise-reduced video image.
Claim 2
Dependent Claim 299 words
Method of adjusting a noise-reduction coefficient K in an active video image, characterised by the following steps: during a given processing period, detecting movement and measuring noise in the video image in parallel, a measurement of the noise being obtained for each pixel of the video image considered to be stationary, using a movement detector processing successive images, by calculating a difference f d between an unprocessed video signal corresponding to this pixel, and a video signal processed with a noise-reduction coefficient K corresponding to the pixel at a same spatial position in a preceding video image; calculating the square of the absolute value of the difference so as to obtain a value |f d | 2 ; adding the value |f d | 2 to other values |f d | 2 already obtained for the pixels defined as stationary, so as to form a sum value Σ|f d | 2 ; recommencing the above operations until a number of pixels processed is equal to a first threshold value N 0 , or until the end of the processing period; at the end of the above operations, when the number of pixels processed is at least equal to the first threshold value, using the sum value Σ|f d | 2 to determine a value of a reference point corresponding to the movement as a function of the noise, this value giving as a function of a transfer curve in which the noise-reduction coefficient is a function of the values at the output of the movement detector, a new value for the noise-reduction coefficient K, otherwise a former value of the noise-reduction coefficient K is kept; and using the value determined as the noise-reduction coefficient K to reduce noise in the unprocessed video image to produce a noise-reduced video image.
Claim 3
Dependent Claim 171 words
Method according to claim 1, wherein said step of using said sum value comprises: at the end of the processing period, using the sum value Σ|f d | 2 to determine a reference point giving, with the said transfer curve, a new value of the noise-reduction coefficient K; comparing the new value of the noise-reduction coefficient K to a current value of the noise-reduction coefficient K; if the new value is greater than the current value, comparing the number of pixels processed to the first threshold value N 0 and, if the number of pixels processed is greater or equal to N 0 , using the new value of the noise-reduction coefficient K, otherwise using the current value; and if the new value is lower than the current value, comparing the number of pixels processed to a second threshold value N 1 and, if the number of pixels processed is greater or equal to N 1 , using the new value of the noise-reduction coefficient K, otherwise using the current value.
Claim 4
Dependent Claim 38 words
Method according to either of claims 1 or 2, characterised in that the reference point giving a new reduction coefficient of the noise is determined by taking the square root of the value Σ|f d | 2 .
Claim 5
Dependent Claim 46 words
Method according to either of claims 1 or 2, characterised in that the reference point giving a new reduction coefficient of the noise is determined by taking the mean value of the value Σ|f d | 2 /N 0 , N 0 being the threshold value.
Claim 6
Dependent Claim 26 words
Method according to any one of claims 1 or 2, characterised in that the first threshold value is an integer power of two (2 N ).
Claim 7
Dependent Claim 23 words
Method according to any one of claims 1 or 2, characterised in that the processing period corresponds to at least one video image.
Claim 8
Independent Claim 241 words
An apparatus for reducing noise in an active video signal, comprising: means for receiving said video signal and subtracting a previous video signal of a image preceding said active video signal to produce a first signal; a movement detector which receives said first signal and outputs a movement signal; a noise measurement circuit for measuring noise in said first signal and for outputting a noise signal; means for producing a noise-reduction coefficient using said movement signal and said noise signal; a multiplier which multiplies said first signal and said noise-reduction coefficient to produce a second signal; and an adder for adding said second signal and said previous video signal to output a third signal being a noise-reduced video signal; wherein said noise circuit measurement circuit comprises: an absolute value circuit for taking the absolute value of said first signal and producing an absolute value signal; a squaring circuit for squaring said absolute value signal and producing a squared signal; an accumulator which adds said squared signal to previously produced squared signals and produces an accumulated signal; a counter for counting a number of squared signals accumulated by said accumulator; and means for comparing said number of squared signals to a predetermined number, outputting said accumulated signal when said number of squared signals is at least equal to said predetermined number, and outputting a previous value of said accumulated signal when said number of squared signals is less than said predetermined number.
Claim 9
Independent Claim 241 words
An apparatus for reducing noise in an active video signal, comprising: means for receiving said video signal and subtracting a previous video signal of a image preceding said active video signal to produce a first signal; a movement detector which receives said first signal and outputs a movement signal; a noise measurement circuit for measuring noise in said first signal and for outputting a noise signal; means for producing a noise-reduction coefficient using said movement signal and said noise signal; a multiplier which multiplies said first signal and said noise-reduction coefficient to produce a second signal; and an adder for adding said second signal and said previous video signal to output a third signal being a noise-reduced video signal; wherein said noise circuit measurement circuit comprises: an absolute value circuit for taking the absolute value of said first signal and producing an absolute value signal; a squaring circuit for squaring said absolute value signal and producing a squared signal; an accumulator which adds said squared signal to previously produced squared signals and produces an accumulated signal; a counter for counting a number of squared signals accumulated by said accumulator; and means for comparing said number of squared signals to a predetermined number, outputting said accumulated signal when said number of squared signals is at least equal to said predetermined number, and outputting a previous value of said accumulated signal when said number of squared signals is less than said predetermined number.
Claim 10
Dependent Claim 29 words
An apparatus as recited in claim 7, further comprising: a memory, connected to said means for receiving said video signal and said adder, for storing said previous video signal.
Claim 11
Dependent Claim 43 words
An apparatus as recited in claim 7, wherein said movement detector further comprises: means for detecting stationary pixels in said first signal; and means for outputting a fourth signal to said noise measurement circuit after detecting said stationary pixels in said first signal.
Claim 12
Independent Claim 172 words
A method of reducing noise in an active video image, comprising: storing a first video signal of a first image; subtracting said first video signal from a second video signal of a second image subsequent to said first image to obtain a subtracted image; detecting movement in said subtracted image to obtain stationary pixels in said subtracted image; measuring noise in said subtracted image using said stationary pixels; determining a noise-reduction coefficient based on said detecting of said movement and said measuring of said noise; multiplying said subtracted image by said noise-reduction coefficient to obtain a multiplied signal; and producing a noise-reduced video signal from said first signal and said multiplied signal; wherein said step of measuring noise in said subtracted image comprises: determining a first noise-reduction coefficient; counting a number of said stationary pixels; comparing said number to a predetermined value; using said first noise-reduction coefficient when said number is at least equal to said value; and using a previously determined noise-reduction coefficient when said number is less than said value.
Claim 13
Independent Claim 172 words
A method of reducing noise in an active video image, comprising: storing a first video signal of a first image; subtracting said first video signal from a second video signal of a second image subsequent to said first image to obtain a subtracted image; detecting movement in said subtracted image to obtain stationary pixels in said subtracted image; measuring noise in said subtracted image using said stationary pixels; determining a noise-reduction coefficient based on said detecting of said movement and said measuring of said noise; multiplying said subtracted image by said noise-reduction coefficient to obtain a multiplied signal; and producing a noise-reduced video signal from said first signal and said multiplied signal; wherein said step of measuring noise in said subtracted image comprises: determining a first noise-reduction coefficient; counting a number of said stationary pixels; comparing said number to a predetermined value; using said first noise-reduction coefficient when said number is at least equal to said value; and using a previously determined noise-reduction coefficient when said number is less than said value.
Claim 14
Independent Claim 244 words
A method of reducing noise in an active video image, comprising: storing a first video signal of a first image; subtracting said first video signal from a second video signal of a second image subsequent to said first image to obtain a subtracted image; detecting movement in said subtracted image to obtain stationary pixels in said subtracted image; measuring noise in said subtracted image using said stationary pixels; determining a noise-reduction coefficient based on said detecting of said movement and said measuring of said noise; multiplying said subtracted image by said noise-reduction coefficient to obtain a multiplied signal; and producing a noise-reduced video signal from said first signal and said multiplied signal; wherein said step of measuring noise in said subtracted image further comprises: determining a first noise-reduction coefficient; counting a number of said stationary pixels; comparing said first noise-reduction coefficient to a previously determined second noise-reduction coefficient; if said first noise-reduction coefficient is greater that said second noise-reduction coefficient, comparing said number of said stationary pixels to a first threshold value, using said first noise-reduction coefficient when said number is at least equal to said first threshold, and using said second noise-reduction coefficient otherwise; and if said first noise-reduction coefficient is no more than said second noise-reduction coefficient, comparing said number of said stationary pixels to a second threshold value, using said first noise-reduction coefficient when said number is at least equal to said second threshold, and using said second noise-reduction coefficient otherwise.
Claim 15
Independent Claim 244 words
A method of reducing noise in an active video image, comprising: storing a first video signal of a first image; subtracting said first video signal from a second video signal of a second image subsequent to said first image to obtain a subtracted image; detecting movement in said subtracted image to obtain stationary pixels in said subtracted image; measuring noise in said subtracted image using said stationary pixels; determining a noise-reduction coefficient based on said detecting of said movement and said measuring of said noise; multiplying said subtracted image by said noise-reduction coefficient to obtain a multiplied signal; and producing a noise-reduced video signal from said first signal and said multiplied signal; wherein said step of measuring noise in said subtracted image further comprises: determining a first noise-reduction coefficient; counting a number of said stationary pixels; comparing said first noise-reduction coefficient to a previously determined second noise-reduction coefficient; if said first noise-reduction coefficient is greater that said second noise-reduction coefficient, comparing said number of said stationary pixels to a first threshold value, using said first noise-reduction coefficient when said number is at least equal to said first threshold, and using said second noise-reduction coefficient otherwise; and if said first noise-reduction coefficient is no more than said second noise-reduction coefficient, comparing said number of said stationary pixels to a second threshold value, using said first noise-reduction coefficient when said number is at least equal to said second threshold, and using said second noise-reduction coefficient otherwise.

References Cited (Backward Citations)

US4249209A Cited
US4296436A Cited
US4646138A Cited
US4679086A Cited
US5140424A Cited
US5025316A Cited
US5161018A Cited
US5185664A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 1998-02-27 1998-08-29 1999-02-28 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2002-02-27 2002-08-29 2003-02-28 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2006-02-27 2006-08-29 2007-02-28 $7700.00 Window Closed / Lapsed

Assigned Categories & Tags

No categories assigned to this patent yet.

Assign Category Tag