IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, GENERATION METHOD, AND PROGRAM
To provide an image processing device capable of suppressing gradation degrading of a processed image even when a bit number expressing a pixel number in a neural network is smaller than a bit number expressing a bit number of an inputted image.SOLUTION: An image processing device according to the p...
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| creator | NAKAMURA HIROKI HOSOI KAZUKI HASEGAWA HIROYUKI KAWAHARA SHUNSUKE |
| description | To provide an image processing device capable of suppressing gradation degrading of a processed image even when a bit number expressing a pixel number in a neural network is smaller than a bit number expressing a bit number of an inputted image.SOLUTION: An image processing device according to the present disclosure includes: gradation compression means which compresses a gradation of a first image; processing means which outputs image data to which prescribed image processing has been applied by applying a neural network for executing the prescribed image processing to the image data in which the gradation has been compressed by the gradation compression means; and gradation expansion means which expands a gradation of the image data to which the prescribed image processing has been applied. The gradation compression means compresses the gradation by using a characteristic where larger gradation is assigned as the bit number expressing a pixel value in the neural network is smaller than the bit number expressing the pixel value of the first image data, and as brightness is lower.SELECTED DRAWING: Figure 3
【課題】ニューラルネットワークの内部で画素値を表すビット数が、入力される画像の画素値を表すビット数よりも小さい場合であっても、処理後の画像の階調低下を抑制することが可能な画像処理装置を提供する。【解決手段】本開示に係る画像処理装置は、第１の画像データの階調を圧縮する階調圧縮手段と、階調圧縮手段によって階調が圧縮された画像データに対して、所定の画像処理を行うニューラルネットワークを適用することにより、所定の画像処理が行われた画像データを出力する処理手段と、所定の画像処理が行われた画像データの階調を伸長する階調伸長手段と、を有し、ニューラルネットワークの内部で画素値を表すビット数が第１の画像データの画素値を表すビット数よりも小さく、階調圧縮手段は、明るさが低いほど多くの階調が割り当てられる特性を用いて階調を圧縮する。【選択図】図３ |
| format | Patent |
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【課題】ニューラルネットワークの内部で画素値を表すビット数が、入力される画像の画素値を表すビット数よりも小さい場合であっても、処理後の画像の階調低下を抑制することが可能な画像処理装置を提供する。【解決手段】本開示に係る画像処理装置は、第１の画像データの階調を圧縮する階調圧縮手段と、階調圧縮手段によって階調が圧縮された画像データに対して、所定の画像処理を行うニューラルネットワークを適用することにより、所定の画像処理が行われた画像データを出力する処理手段と、所定の画像処理が行われた画像データの階調を伸長する階調伸長手段と、を有し、ニューラルネットワークの内部で画素値を表すビット数が第１の画像データの画素値を表すビット数よりも小さく、階調圧縮手段は、明るさが低いほど多くの階調が割り当てられる特性を用いて階調を圧縮する。【選択図】図３</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230616&DB=EPODOC&CC=JP&NR=2023084092A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230616&DB=EPODOC&CC=JP&NR=2023084092A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NAKAMURA HIROKI</creatorcontrib><creatorcontrib>HOSOI KAZUKI</creatorcontrib><creatorcontrib>HASEGAWA HIROYUKI</creatorcontrib><creatorcontrib>KAWAHARA SHUNSUKE</creatorcontrib><title>IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, GENERATION METHOD, AND PROGRAM</title><description>To provide an image processing device capable of suppressing gradation degrading of a processed image even when a bit number expressing a pixel number in a neural network is smaller than a bit number expressing a bit number of an inputted image.SOLUTION: An image processing device according to the present disclosure includes: gradation compression means which compresses a gradation of a first image; processing means which outputs image data to which prescribed image processing has been applied by applying a neural network for executing the prescribed image processing to the image data in which the gradation has been compressed by the gradation compression means; and gradation expansion means which expands a gradation of the image data to which the prescribed image processing has been applied. The gradation compression means compresses the gradation by using a characteristic where larger gradation is assigned as the bit number expressing a pixel value in the neural network is smaller than the bit number expressing the pixel value of the first image data, and as brightness is lower.SELECTED DRAWING: Figure 3
【課題】ニューラルネットワークの内部で画素値を表すビット数が、入力される画像の画素値を表すビット数よりも小さい場合であっても、処理後の画像の階調低下を抑制することが可能な画像処理装置を提供する。【解決手段】本開示に係る画像処理装置は、第１の画像データの階調を圧縮する階調圧縮手段と、階調圧縮手段によって階調が圧縮された画像データに対して、所定の画像処理を行うニューラルネットワークを適用することにより、所定の画像処理が行われた画像データを出力する処理手段と、所定の画像処理が行われた画像データの階調を伸長する階調伸長手段と、を有し、ニューラルネットワークの内部で画素値を表すビット数が第１の画像データの画素値を表すビット数よりも小さく、階調圧縮手段は、明るさが低いほど多くの階調が割り当てられる特性を用いて階調を圧縮する。【選択図】図３</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAjw9HV0d1UICPJ3dg0O9vRzV3BxDfN0dtVRwJDwdQ3x8HfRUXB39XMNcgzx9PeDCzn6uYBUugc5-vIwsKYl5hSn8kJpbgYlN9cQZw_d1IL8-NTigsTk1LzUknivACMDI2MDCxMDSyNHY6IUAQCd5i8U</recordid><startdate>20230616</startdate><enddate>20230616</enddate><creator>NAKAMURA HIROKI</creator><creator>HOSOI KAZUKI</creator><creator>HASEGAWA HIROYUKI</creator><creator>KAWAHARA SHUNSUKE</creator><scope>EVB</scope></search><sort><creationdate>20230616</creationdate><title>IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, GENERATION METHOD, AND PROGRAM</title><author>NAKAMURA HIROKI ; HOSOI KAZUKI ; HASEGAWA HIROYUKI ; KAWAHARA SHUNSUKE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2023084092A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><toplevel>online_resources</toplevel><creatorcontrib>NAKAMURA HIROKI</creatorcontrib><creatorcontrib>HOSOI KAZUKI</creatorcontrib><creatorcontrib>HASEGAWA HIROYUKI</creatorcontrib><creatorcontrib>KAWAHARA SHUNSUKE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>NAKAMURA HIROKI</au><au>HOSOI KAZUKI</au><au>HASEGAWA HIROYUKI</au><au>KAWAHARA SHUNSUKE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, GENERATION METHOD, AND PROGRAM</title><date>2023-06-16</date><risdate>2023</risdate><abstract>To provide an image processing device capable of suppressing gradation degrading of a processed image even when a bit number expressing a pixel number in a neural network is smaller than a bit number expressing a bit number of an inputted image.SOLUTION: An image processing device according to the present disclosure includes: gradation compression means which compresses a gradation of a first image; processing means which outputs image data to which prescribed image processing has been applied by applying a neural network for executing the prescribed image processing to the image data in which the gradation has been compressed by the gradation compression means; and gradation expansion means which expands a gradation of the image data to which the prescribed image processing has been applied. The gradation compression means compresses the gradation by using a characteristic where larger gradation is assigned as the bit number expressing a pixel value in the neural network is smaller than the bit number expressing the pixel value of the first image data, and as brightness is lower.SELECTED DRAWING: Figure 3
【課題】ニューラルネットワークの内部で画素値を表すビット数が、入力される画像の画素値を表すビット数よりも小さい場合であっても、処理後の画像の階調低下を抑制することが可能な画像処理装置を提供する。【解決手段】本開示に係る画像処理装置は、第１の画像データの階調を圧縮する階調圧縮手段と、階調圧縮手段によって階調が圧縮された画像データに対して、所定の画像処理を行うニューラルネットワークを適用することにより、所定の画像処理が行われた画像データを出力する処理手段と、所定の画像処理が行われた画像データの階調を伸長する階調伸長手段と、を有し、ニューラルネットワークの内部で画素値を表すビット数が第１の画像データの画素値を表すビット数よりも小さく、階調圧縮手段は、明るさが低いほど多くの階調が割り当てられる特性を用いて階調を圧縮する。【選択図】図３</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION |
| title | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, GENERATION METHOD, AND PROGRAM |
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