Method and apparatus for image acquisition including image sensor
An image acquisition apparatus includes a display layer including hole regions through which external light is received and pixel regions arranged between the hole regions, an image sensor disposed under the display layer and configured to generate a raw image by sensing the external light received through the hole regions, and a processor configured to perform image processing on the raw image based on blur information based on an arrangement of the hole regions.
1. An electronic apparatus comprising:
a display comprising hole regions and pixel regions arranged in a predetermined pattern;
a camera disposed under the display and configured to obtain a raw image by sensing external light received through the hole regions; and
a processor configured to generate an enhanced image by performing image restoration on the raw image,
wherein boundaries of the hole regions are respectively separated from boundaries of the pixel regions.
2. The electronic apparatus of claim 1 , wherein the processor is further configured to perform an image processing on the raw image to reduce artifacts by the hole regions.
3. The electronic apparatus of claim 1 , wherein the processor is further configured to:
perform image restoration on the raw image based on a blur information,
wherein the blur information is based on an arrangement of the hole regions.
4. The electronic apparatus of claim 3 , wherein the blur information is determined based on any one or any combination of any two or more of a shape, size, depth, and interval of the hole regions, or a point spread function (PSF) based on the arrangement of the hole regions.
5. The electronic apparatus of claim 1 , wherein a spacing between centers of neighboring ones of the hole regions is substantially equal to a diameter of any one of the hole regions.
6. The electronic apparatus of claim 1 , wherein each of the hole regions is arranged between the pixel regions.
7. The electronic apparatus of claim 1 , wherein each of the hole regions is circular and the hole regions are of a same shape and size.
8. The electronic apparatus of claim 1 , wherein each of the hole regions is greater in size than each of the pixel regions.
9. The electronic apparatus of claim 1 , wherein the predetermined pattern comprises a subset of the hole regions surrounding each of the pixel regions.
10. The electronic apparatus of claim 1 , wherein the predetermined pattern comprises the hole regions interleaved with the pixel regions.
11. The electronic apparatus of claim 1 , wherein a spacing between centers of neighboring ones of the hole regions is substantially equal to a diameter of any one of the hole regions.
12. The electronic apparatus of claim 1 , wherein the processor is further configured to:
generate a preprocessed image by performing either one or both of image preprocessing configured to apply a filter to the raw image and image preprocessing configured to perform image deconvolution on the raw image.
13. The electronic apparatus of claim 12 , wherein the processor is further configured to:
obtain the enhanced image using a neural network-based image restoration model configured to use the preprocessed image as an input.
14. The electronic apparatus of claim 1 , wherein the processor is further configured to:
perform any one or any combination of any two or more of noise reduction, white detect correction, red green blue (RGB) shading, RGB interpolation, color correction, and image format conversion on the enhanced image.
15. A method of operating an electronic apparatus, comprising:
obtaining a raw image by sensing external light received through hole regions arranged in a display using a camera disposed under the display; and
generating an enhanced image by performing image restoration on the raw image,
wherein the hole regions and pixel regions of the display are arranged in a predetermined pattern, and
wherein boundaries of the hole regions are respectively separated from boundaries of the pixel regions.
16. The method of claim 15 , wherein the generating of the enhanced image comprises:
performing an image processing on the raw image to reduce artifacts by the hole regions.
17. The method of claim 15 , wherein the generating of the enhanced image comprises:
performing image restoration on the raw image based on a blur information,
wherein the blur information is based on an arrangement of the hole regions.
18. The method of claim 15 , wherein the generating of the enhanced image comprises:
generating a preprocessed image by performing either one or both of image preprocessing configured to apply a filter to the raw image and image preprocessing configured to perform image deconvolution on the raw image.
19. The method of claim 18 , wherein the generating of the enhanced image comprises:
obtaining the enhanced image using a neural network-based image restoration model using the preprocessed image as an input.
20. A non-transitory computer-readable storage medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform the method of claim 15 .