Nittoh Kogaku K.k.

Eastman-kodak Company

Nitto Kogaku Kk

Fuminori Takahashi

Takanori Miki

Hiroaki Komatsu

Masami Haino

Junzou Sakurai

An image processing device that produces a restored image that gives people natural feeling when a shot image with longer exposure time on the way to image blurring due to hand jiggling or an end portion is restored. The image processing device comprises an image processing unit that produces a restored image approximated to an original image from an object image to be processed, which is fluctuated against the original image due to movement of an image shooting device during exposure. The image processing unit produces the restored image while making the restored image correspond to a position having the longest exposure time for an object image to be processed.

Image processing device

A signal processing device, which is more practical for restoring signals, includes a signal processing unit for processing a signal. The processing unit produces restored data that approaches the original signal data before fluctuating (before blurring) by repeating the following processing: generating comparison data Io' from arbitrary signal data Io by using information data G regarding fluctuation factors that triggers signal fluctuation; comparing the comparison data Io&#x2032; with original signal data Img&#x2032; as an object to be processed thereafter; producing restored data Io+n by allocating difference data &#x3b4; to the arbitrary signal data Io while using the information data G regarding fluctuation factors; and substituting the restored data Io+n for the arbitrary signal data Io thereafter.

Signal processing apparatus

The present invention is an image processing device that certainly restores a non-linearly corrected image. A processing unit 4 restores a non-linearly corrected original image or an original image without being non-linearly corrected from a non-linearly corrected initial image data which has been fluctuated like deterioration and was non-linearly corrected by a predetermined way. The processing unit 4 repeats processing using any of fluctuation-factor information data which becomes a factor of fluctuating an image, the initial image data which is non-linearly corrected and the initial image data without being non-linearly corrected which is not non-linearly corrected and obtained by performing inversely non-linear correction against the non-linearly corrected initial data. The processing unit gradually generates any one of the non-linearly corrected initial data and comparison data which is approximated to the initial image without being non-linearly corrected and gradually approximates the energy of the non-linearly corrected initial data to zero. The processing unit performs basic processing of forming the original image data or the non-linearly corrected original image data.

An image processing apparatus is provided which performs image restoration as necessary while a computing processing burden based on an image restoration algorithm is reduced. RAW data of a blurred image is input to an RGB interpolation section. The RGB interpolation section generates an R component image, a G component image, and a B component image based on the RAW data. The G component image is input to an image restoration processing section and the R and B component images are input to an RGB to YCC section. The image restoration processing section performs an image restoration process based on a predetermined image restoration algorithm by using a PSF image representing a predetermined point spread function. The RGB to YCC section generates a brightness component image Y and color difference component images CR and CB based on the G component image having been subjected to the image restoration process and the R and B component images which was not subjected to any image restoration process.

Image processing apparatus and image restoration method and program

Apparatus includes a change operator for detecting change factor information which causes the deterioration in the image; an iterative processing operator which iterates a processing cycle comprising; a first processing step to apply a first calculation to a first image utilizing the change factor information to generate a second image, calculating difference data between the deteriorated image and the second image; a second processing step to apply a second calculation to the second image utilizing the difference data to generate a third image; and a replacing step to replace the first image with the third image; wherein the processing cycle further includes (a) detecting whether a coincidence exists between the sign of a first difference data and the sign of a second difference data or not, and (b) increasing an absolute value of the difference data utilized in the second processing step when the coincidence is detected in step (a).

Image processing apparatus

A signal processing device includes a system of circuit processing in essence while avoiding large sized device under restoring fluctuated signals such as deterioration and the like. The signal processing unit includes a processing unit that restores one of a signal before fluctuation, a signal which should have been intrinsically obtained, and signal data which is approximated from these signals from an initial signal which has fluctuated like deterioration. A fluctuated data region storing fluctuated data and a restored data region storing signal data (restored data) restored every restoring process are installed. The processing unit repeats the following processes in order to produce data formed in the restored data region at the completion of processing as original signal data. The processing unit transfers energy of the fluctuated data from the fluctuated data region to the restored data region using fluctuation-factor information data, which is a fluctuation factor, and produces restored data; and substitutes residual data in the fluctuated data region remained through the data transfer for the fluctuated data.

Signal processing device

An image deteriorated by camera shake, or the like, is restored in a short period of time. A &#x2207;J computation section computes an evaluation value J from a deteriorated image G captured by means of photographing, a restored image F, and a PSF computed from an angular velocity detected by an angular velocity sensor, and further computes &#x2207;J. When the square of norm of &#x2207;J exceeds a threshold value, there is iterated processing for computing a new, restored image F by means of subtracting &#x3b5;&#xb7;&#x2207;J from the restored image F. A convergence parameter computation section sets the convergence parameter &#x3b5; as a value which first shows an increase and subsequently a decrease depending on the number of iterations, thereby increasing the speed of convergence and inhibiting divergence.

Growing community of inventors

Nagano, Japan

Fuminori Takahashi