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1. WO2000042772 - CODING AND NOISE FILTERING AN IMAGE SEQUENCE

Publication Number WO/2000/042772
Publication Date 20.07.2000
International Application No. PCT/EP1999/010414
International Filing Date 24.12.1999
IPC
H04N 7/26 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
7Television systems
24Systems for the transmission of television signals using pulse code modulation
26using bandwidth reduction
H04N 7/30 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
7Television systems
24Systems for the transmission of television signals using pulse code modulation
26using bandwidth reduction
30involving transform coding
H04N 7/50 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
7Television systems
24Systems for the transmission of television signals using pulse code modulation
26using bandwidth reduction
50involving transform and predictive coding
CPC
H04N 19/117
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
19Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
10using adaptive coding
102characterised by the element, parameter or selection affected or controlled by the adaptive coding
117Filters, e.g. for pre-processing or post-processing
H04N 19/147
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
19Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
10using adaptive coding
134characterised by the element, parameter or criterion affecting or controlling the adaptive coding
146Data rate or code amount at the encoder output
147according to rate distortion criteria
H04N 19/149
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
19Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
10using adaptive coding
134characterised by the element, parameter or criterion affecting or controlling the adaptive coding
146Data rate or code amount at the encoder output
149by estimating the code amount by means of a model, e.g. mathematical model or statistical model
H04N 19/172
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
19Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
10using adaptive coding
169characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
17the unit being an image region, e.g. an object
172the region being a picture, frame or field
H04N 19/19
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
19Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
10using adaptive coding
189characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding
19using optimisation based on Lagrange multipliers
H04N 19/51
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
19Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
50using predictive coding
503involving temporal prediction
51Motion estimation or motion compensation
Applicants
  • KONINKLIJKE PHILIPS ELECTRONICS N.V. [NL/NL]; Groenewoudseweg 1 NL-5621 BA Eindhoven, NL
Inventors
  • OIVIERI, Stefano; NL
Agents
  • GROENENDAAL, Antonius, W., M.; Internationaal Octrooibureau B.V. Prof. Holstlaan 6 NL-5656 AA Eindhoven, NL
Priority Data
99200103.215.01.1999EP
99202038.824.06.1999EP
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) CODING AND NOISE FILTERING AN IMAGE SEQUENCE
(FR) CODAGE ET FILTRAGE DU BRUIT D'UNE SEQUENCE D'IMAGES
Abstract
(EN)
The invention provides a method of and a device for coding (10*) an image sequence ($i(g(i,j,k))). The device (10*) has a noise filter (12) for noise filtering (12) the image sequence ($i(g(i,j,k))), and means (12) for regarding the noise filtering (12) as a rate-distortion optimization problem in order to adapt the response of the noise filter (12). In particular, a filter parameter set (C) is determined to adapt the response of the filter (12) in that the image sequence ($i(g(i,j,k))) is encoded using an optimal bit-budget, which is the bit-budget used for compressing a noise-free image sequence, and the distortion for the given bit-budget is minimized. A solution of the rate-distortion problem is proposed that calculates (12) the filter parameter set (C) by a Lagrange multiplier method. Separate minimization is used to determine each parameter of the parameter set (C) independently. In a practical embodiment, a spatial adaptive weighted averaging (SAWA) filtering (23) is used to estimate the bit budget ($i(Rf*)) and to pre-filter the image sequence ($i(g(i,j,k))).
(FR)
L'invention porte sur un procédé et un dispositif (10*) de codage d'une séquence d'images ($i(g(i,j,k))). Le dispositif (10*) comporte un filtre (12) filtrant le bruit (12) de la séquence images ($i(g(i,j,k))), et des moyens (12) de considérer le filtrage du bruit (12) comme un problème d'optimisation de la vitesse- distorsion pour adapter la réponse du filtre de bruits (12). En particulier on détermine un ensemble (C) de paramètres de filtrage pour adapter la réponse du filtre (12) afin que le codage de la séquence images ($i(g(i,j,k))) se fasse avec un 'budget' de bits optimal correspondant à celui servant à la compression d'une image exempte de bruit, ce qui réduit au minimum la distorsion pour un 'budget' de bits. La solution proposée du problème de la vitesse-distorsion calcule (12) l'ensemble (C) des paramètres de filtrage à l'aide du multiplicateur de Lagrange. On recourt à une minimisation séparée et indépendante pour chacun des paramètres de l'ensemble (C). Dans une exécution pratique, on utilise un filtrage (23) SAWA (moyennage spatial adaptatif pondéré) pour évaluer le 'budget' de bits ($i(Rf*)) et préfiltrer la séquence d'images ($i(g(i,j,k))).
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