Source: http://www.google.com/patents/US7853097?dq=7565338
Timestamp: 2017-12-17 09:16:59
Document Index: 288364824

Matched Legal Cases: ['Application No. 2002', 'Application No. 2002', 'Application No. 2002', 'Application No. 2003', 'Application No. 2003', 'Application No. 2003']

Patent US7853097 - Image processing apparatus and image processing program - Google Patents
An image processing apparatus includes: an image obtaining unit that obtains an image captured with an image sensor; and a defect information generating unit that generates defect information indicating a defect within the image having been obtained, based upon a value at a target pixel and an average...http://www.google.com/patents/US7853097?utm_source=gb-gplus-sharePatent US7853097 - Image processing apparatus and image processing program
Publication number US7853097 B2
Application number US 10/540,972
PCT number PCT/JP2003/016797
Also published as CN1732682A, CN1732682B, CN101778203A, CN101778203B, CN101778222A, CN101778222B, EP1583356A1, EP1583356A4, EP1583356B1, EP2461576A1, EP2461576B1, US8031968, US8369651, US20060115177, US20100092103, US20120013772, WO2004062275A1
Publication number 10540972, 540972, PCT/2003/16797, PCT/JP/2003/016797, PCT/JP/2003/16797, PCT/JP/3/016797, PCT/JP/3/16797, PCT/JP2003/016797, PCT/JP2003/16797, PCT/JP2003016797, PCT/JP200316797, PCT/JP3/016797, PCT/JP3/16797, PCT/JP3016797, PCT/JP316797, US 7853097 B2, US 7853097B2, US-B2-7853097, US7853097 B2, US7853097B2
Patent Citations (54), Non-Patent Citations (1), Referenced by (17), Classifications (14), Legal Events (2)
US 7853097 B2
the relative ratio calculation unit sets the predetermined range over which the calculated relative ratio is set to 1 to a ±(3× standard deviation value) range.
Japanese Patent Application No. 2002-379719 filed Dec. 27, 2002
Japanese Patent Application No. 2002-379720 filed Dec. 27, 2002
Japanese Patent Application No. 2002-379721 filed Dec. 27, 2002
Japanese Patent Application No. 2003-307355 filed Aug. 29, 2003
Japanese Patent Application No. 2003-307356 filed Aug. 29, 2003
Japanese Patent Application No. 2003-307357 filed Aug. 29, 2003
T [ i , j ] = Y [ i , j ] ( ∑ m = i - a i + a ∑ n = j - b j + b Y [ i + m , j + n ] ) / ( 2 a + 1 ) ( 2 b + 1 ) ( 2 )
The processing executed to calculate the relative ratio over the (2a+1)×(2b+1) pixel range is referred to as local normalization processing (gain extraction processing) The filter used to calculate the relative ratio over the (2a+1)×(2b+1) pixel range may be referred to as a gain extraction kernel. FIG. 4 shows how the local normalization processing is executed on the luminance plane. FIG. 4( a) shows the luminance signals at pixels disposed along the horizontal direction within the luminance plane, with reference numerals 41 and 42 indicating that the presence of dust has lowered luminance signal values. FIG. 4( b) shows the results of the local normalization processing described above executed on the luminance signals in FIG. 4( a). Namely, it shows the results of the normalization processing executed on the pixel values over the local range. Reference numerals 43 and 44 respectively correspond to reference numerals 41 and 42 in FIG. 4( a), each indicating the transmittance at a point at which dust is present. Nonuniformity such as gradation and shading contained in the uniform surface data is thus eliminated, and the extent to which the transmittance has been lowered due to the dust shadows alone can be extracted. As a result, the positions at which the dust is present and the specific levels of transmittance at the individual positions can be ascertained at the same time.
M = 1 N x N y ∑ i , j T [ i , j ] ( 4 ) σ = 1 N x N y ∑ i , j ( T [ i , j ] - M ) 2 ( 5 )
Δ r = r · l P 0 ′ - l · P 0 - P 0 ′ P 0 ( 14 )
It is to be noted that the distance l indicates a value obtained by converting the thickness of the optical component to the length of the optical path represented in the air.
r ′ = r + Δ r = r ( 1 + l P 0 ′ - l · P 0 - P 0 ′ P 0 ) ( 15 )
Γ = l F ( 16 )
Y ′ = Y max ′ ( Y Y max ) γ ( 20 )
In step S54, dust areas are excluded from the edge map. While a majority of dust shadows are not extracted as edges due to their low contrast, shadows of large dust motes may have high contrast, and in such a case, they may be extracted as edges. In particular, if the correction target image is photographed by narrowing the aperture, a plurality of dust shadows may be extracted as edges. In order to ensure that these dust shadows are also specified as gain extraction areas instead of being regarded as edge areas, the dust positions are forcibly separated from the actual edge portions, as expressed in (33) below by using the dust map information having been obtained in step S46. Since it is not desirable to remove too much edge area data, the dust map yet to undergo the dust map enlargement processing in step S47 is used for these purposes. A schematic description “EDGE′′=EDGE+DARK−DUST” may facilitate understanding of this operation.
4′) Edge map peripheral assimilation processing (correction of clipped dust areas) (S60)
if sum>4 EDGE[i,j]=1
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U.S. Classification 382/275, 382/167, 382/149, 382/254, 348/247, 382/274, 348/251, 348/615
International Classification G06K9/40, H04N5/367
Cooperative Classification H04N1/4097, H04N5/3675
European Classification H04N5/367A, H04N1/409D
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ISHIGA, KENICHI;REEL/FRAME:017266/0790