EP0611051A1
Expired / Lapsed
EP
⏱️ 0.0 years remaining
Image processing method and apparatus
Assignee: Canon Inc
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Filing: 1994-01-20
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Granted: —
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Expires: 2014-01-20
Abstract
Abstract An image processing apparatus, as well as an image processing method, capable of executing area separation accurately using a small block size includes a wavelet transforming circuit for converting image data, which has entered from an image input circuit, into a plurality of band-limited image data, an edge detecting circuit for detecting edge information in the image data based upon the band-limited image data, a character-area detecting circuit for detecting character areas in the image data from the distribution of the edge information, and an expansion/contraction circuit for unifying the character areas based upon the character-area information detected.
Inventors
- 👤 Akihiro C/O Canon Kabushiki Kaisha Katayama
- 👤 Yoshihiro C/O Canon Kabushiki Kaisha Ishida
Bibliographic Details
Application Number
—
Jurisdiction
EP
Data Source
google_patents
Last Synchronized
2026-11-05 13:20
CPC Classifications
G; G06; G06V; G06V30/00; G06V30/40; G06V30/41; G06V30/413; H; H04; H04N; H04N1/00; H04N1/40; H04N1/40062; H04N1/46; H04N1/64; H04N1/642; H04N19/00; H04N19/10; H04N19/134; H04N19/136; H04N19/14; H04N19/169; H04N19/186; H04N19/102; H04N19/60; H04N19/63
Claims Analysis
Total Claims: 12
Claim 1
Independent Claim
61 words
An image processing apparatus comprising: input means for entering image data; conversion means for converting the image data into a plurality of band-limited image data by using a bandpass filter; and discrimination means for discriminating a characteristic of an image, which is represented by the image data, on the basis of at least one of the plurality of band-limited image data.
Claim 2
Dependent Claim
15 words
The apparatus according to claim 1, wherein said conversion means performs a two-dimensional wavelet transformation.
Claim 3
Dependent Claim
18 words
The apparatus according to claim 1, wherein said conversion means comprises a low-pass filter and a high-pass filter.
Claim 4
Dependent Claim
15 words
The apparatus according to claim 1, wherein said band-limited image data represents an edge component.
Claim 5
Dependent Claim
18 words
The apparatus according to claim 4, wherein said discrimination means discriminates an image characteristic using said edge component.
Claim 6
Dependent Claim
16 words
The apparatus according to claim 1, further comprising correcting means for correcting results of said discrimination.
Claim 7
Dependent Claim
30 words
The apparatus according to claim 1, further comprising encoding means for encoding the image data, which has been entered by said input means, in conformity with results of said discrimination.
Claim 8
Dependent Claim
29 words
The apparatus according to claim 7, wherein said encoding means has a first encoding circuit for encoding a character area and a second encoding circuit for encoding other areas.
Claim 9
Dependent Claim
23 words
The apparatus according to claim 8, wherein said first encoding circuit performs entropy encoding and said second encoding circuit performs information non-preserving coding.
Claim 10
Dependent Claim
55 words
An image processing method comprising the steps of: entering image data; converting the image data into a plurality of band-limited image data by using a band-pass filter; and discriminating a characteristic of an image, which is represented by the image data, on the basis of at least one of the plurality of band-limited image data.
Claim 11
Dependent Claim
37 words
An image processing apparatus comprising: means for entering image data; means for classifying the image data in terms of frequency; and means for determining characteristics of the image represented by the data based on the frequency classification.
Claim 12
Dependent Claim
34 words
An image processing method comprising the steps of: entering image data; classifying the image data in terms of frequency; and determining characteristics of the image represented by the data based on the frequency classification.
References Cited (Backward Citations)
EP0491556A2
Cited
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