Image processing device, image processing program and image processing method, and image transmission/reception system and image transmission/reception method

1. An image processing device comprising:

filter coefficient storing means storing a point spread filter coefficient for each pixel;

means for executing blurring processing to generate first image data by performing blurring on input image data;

means for executing convolution processing to generate second image data by performing a convolution calculation on the first image data using the point spread filter coefficient stored in the filter coefficient storing means;

means for executing division processing to generate third image data by dividing the first image data by the second image data; and

means for executing multiplication processing to generate output image data by multiplying the third image data by the first image data.

2. The image processing device according to claim 1 , further comprising:

means for executing the convolution processing, the division processing, and the multiplication processing repeatedly.

3. The image processing device according to claim 2 , wherein

the filter storing means stores a plurality of point spread filter coefficients, and

the means for executing the convolution processing uses a different point spread filter coefficient, among the plurality of filter coefficients, each time the convolution processing is executed thereby.

4. A non-transitory computer-readable medium storing an image processing program which when executed by a computer cause the computer to execute the steps of:

executing blurring processing to generate first image data by performing blurring on input image data;

executing convolution processing to generate second image data by reading a point spread filter coefficient for each pixel stored in a filter coefficient storage unit and performing a convolution calculation on the first image data;

executing division processing to generate third image data by dividing the first image data by the second image data; and

executing multiplication processing to generate output image data by multiplying the third image data by the first image data.

5. An image processing method comprising the steps of:

executing blurring processing to generate first image data by performing blurring on input image data;

executing convolution processing to generate second image data by reading a point spread filter coefficient for each pixel stored in a filter coefficient storage unit and performing a convolution calculation on the first image data;

executing division processing to generate third image data by dividing the first image data by the second image data; and

executing multiplication processing to generate output image data by multiplying the third image data by the first image data.

6. An image transmission/reception system comprising:

a transmitter for transmitting image data; and

a receiver for receiving the image data and processing the image data, wherein the transmitter includes transmission image generating means for generating transmission image data having a reduced data amount from original image data, and the receiver includes:

filter coefficient storing means storing a point spread filter coefficient;

means for executing blurring processing to generate first image data by performing blurring on input image data;

means for executing convolution processing to generate second image data by performing a convolution calculation on the first image data using the point spread filter coefficient stored in the filter coefficient storing means;

means for executing division processing to generate third image data by dividing the first image data by the second image data; and

means for executing multiplication processing to generate output image data by multiplying the third image data by the first image data.

7. An image transmission/reception method employed in an image transmission/reception system having a transmitter for transmitting image data and a receiver for receiving the image data and processing the image data, the method comprising the steps of:

the transmitter executing the step of generating transmission image data having a reduced data amount from original image data, and

the receiver executing blurring processing to generate first image data by performing blurring on input image data;

the receiver executing convolution processing to generate second image data by reading a point spread filter coefficient stored in a filter coefficient storage unit and performing a convolution calculation on the first image data;

the receiver executing division processing to generate third image data by dividing the first image data by the second image data; and

the receiver executing multiplication processing to generate output image data by multiplying the third image data by the first image data.

8. An image processing device comprising:

a memory, which, in operation, stores point spread filter coefficients associated with image pixels; and

image processing circuitry coupled to the memory, wherein the image processing circuitry, in operation:

blurs input image data, generating first image data;

executes a convolution calculation on the first image data using a point spread filter coefficient stored in the memory, generating second image data;

divides the first image data by the second image data, generating third image data; and

multiplies the third image data by the first image data, generating fourth output image data.

9. The image processing device according to claim 8 , comprising:

an imaging camera, which, in operation, captures the input image data.

10. The image processing device according to claim 8 , wherein

the memory, in operation, stores a plurality of point spread filter coefficients;

the image processing circuitry, in operation, executes a plurality of iterations of the convolution calculations, the dividing, and the multiplying, using an output of the multiplying of a previous iteration as first image data in a current iteration;

each iteration of the plurality of iterations uses a different point spread filter coefficient in the convolution calculation of the iteration; and

the image processing circuitry outputs a result of a last iteration of the plurality of iterations as an output image.