摘要:
An information processing apparatus includes an image taking means for taking images of a subject, a class-classification means for classifying a first image outputted by the image taking means into a class according to a characteristics thereof, a storage means for storing plural coefficient memories having different image taking conditions at the time of image taking, which store prediction coefficients according to the class acquired by learning, a designation means for designating one coefficient memory from among the plural coefficient memories based on the image taking condition when the image was taken by the image taking means, and a calculation means for calculating a second image in which noise is removed from the first image by calculating a prediction coefficient of the class of the first image, which is in the designated coefficient memory.
摘要:
An information processing apparatus includes an image taking means for taking images of a subject, a class-classification means for classifying a first image outputted by the image taking means into a class according to a characteristics thereof, a storage means for storing plural coefficient memories having different image taking conditions at the time of image taking, which store prediction coefficients according to the class acquired by learning, a designation means for designating one coefficient memory from among the plural coefficient memories based on the image taking condition when the image was taken by the image taking means, and a calculation means for calculating a second image in which noise is removed from the first image by calculating a prediction coefficient of the class of the first image, which is in the designated coefficient memory.
摘要:
An image processing device for converting an input image into an output image whose blur is reduced more, the image processing device including: first image extracting section configured to extract a plurality of pixels composed of a pixel of the input image which pixel corresponds to a pixel of interest as a pixel to which to direct attention within the output image and predetermined pixels surrounding the pixel of the input image; first feature quantity calculating configured to calculate a first feature quantity from the plurality of pixels extracted by the first image extracting section; processing coefficient generating section; second pixel extracting section configured to extract a plurality of pixels composed of the pixel corresponding to the pixel of interest and predetermined pixels surrounding the pixel corresponding to the pixel of interest from the input image; and predicting section.
摘要:
A coefficient learning apparatus includes: a student-image generation section configured to generate a student image from the teacher image; a class classification section configured to sequentially set each of pixels in the teacher image as a pixel of interest and generate a class for the pixel of interest from the values of a plurality of specific pixels; a weight computation section configured to add up feature quantities; and a processing-coefficient generation section configured to generate a prediction coefficient on the basis of a determinant including said deterioration equation and a weighted constraint condition equation.
摘要:
An image processing device for converting an input image into an output image whose blur is reduced. The image processing device includes a first image extracting section that extracts a plurality of pixels composed of a pixel of the input image corresponding to a pixel of interest in the output image and predetermined pixels surrounding the pixel of the input image. A first feature quantity calculating section calculates a first feature quantity from the plurality of pixels extracted by the first image extracting section. A second pixel extracting section extracts a plurality of pixels composed of the pixel of interest and predetermined pixels surrounding the pixel of interest from the input image. A predicting section then generates a pixel value of the pixel of interest.
摘要:
An image processing apparatus includes: a blur removing processing section configured to carry out a blur removing process for an input image using a plurality of blur removal coefficients for removing blur of a plurality of different blur amounts to produce a plurality of different blur removal result images; a feature detection section configured to detect a feature from each of the different blur removal result images; a blur amount class determination section configured to determine blur amount classes representative of classes of the blur amounts from the features; and a prediction processing section configured to carry out mathematic operation of pixel values of predetermined pixels of the input image and prediction coefficients learned in advance and corresponding to the blur amount classes to produce an output image from which the blur is removed.
摘要:
An image processing apparatus includes: a blur removing processing section configured to carry out a blur removing process for an input image using a plurality of blur removal coefficients for removing blur of a plurality of different blur amounts to produce a plurality of different blur removal result images; a feature detection section configured to detect a feature from each of the different blur removal result images; a blur amount class determination section configured to determine blur amount classes representative of classes of the blur amounts from the features; and a prediction processing section configured to carry out mathematic operation of pixel values of predetermined pixels of the input image and prediction coefficients learned in advance and corresponding to the blur amount classes to produce an output image from which the blur is removed.
摘要:
An image processing apparatus includes a storage unit in which regression coefficient data is stored for each class on the basis of a tap in which a linear feature amount corresponding to a pixel of interest of first image data and a non-linear feature amount determined from the image data are used as elements; a classification unit configured to classify each of linear feature amounts of a plurality of items of input data of the input first image into a predetermined class; a reading unit configured to read the regression coefficient data; and a data generation unit configured to generate data of a second image obtained by making the first image have higher quality by performing a product-sum computation process by using the regression coefficient data read from the reading unit and elements of the tap of each of the plurality of items of input data of the input first image.
摘要:
An image processing apparatus includes a storage unit in which regression coefficient data is stored for each class on the basis of a tap in which a linear feature amount corresponding to a pixel of interest of first image data and a non-linear feature amount determined from the image data are used as elements; a classification unit configured to classify each of linear feature amounts of a plurality of items of input data of the input first image into a predetermined class; a reading unit configured to read the regression coefficient data; and a data generation unit configured to generate data of a second image obtained by making the first image have higher quality by performing a product-sum computation process by using the regression coefficient data read from the reading unit and elements of the tap of each of the plurality of items of input data of the input first image.
摘要:
An image processing apparatus for converting a first image into a second image having higher image quality than the first image. The image processing apparatus including first pixel value extracting means for extracting plural pixel values within the first image and estimate noise amount arithmetically operating means for obtaining estimate noise amounts for the plural pixel values. The image processing apparatus also including processing coefficient generating means for generating second processing coefficients in accordance with an arithmetic operation for first processing coefficients and the estimate noise amounts, second pixel value extracting means for extracting a plurality of pixel values, and predicting means for generating a pixel value of the pixel of interest.