Image sensor, camera module, and optical device comprising camera module
An image sensor according to one embodiment may comprise: an image sensing unit which receives light and generates a first Bayer pattern having a first resolution; and a processor which receives a second Bayer pattern that is at least a portion of the first Bayer pattern from the image sensing unit, and then generates a third Bayer pattern having a higher resolution than the second alignment unit on the basis of the received second Bayer pattern.
1. An image sensor device comprising:
an image sensing unit for receiving light and generating a first Bayer pattern having a first resolution; and
a processor for generating a second Bayer pattern by performing super resolution (SR) on the first Bayer pattern and generating a third Bayer pattern having a higher resolution than the second Bayer pattern based on the second Bayer pattern,
wherein the processor outputs the third Bayer pattern by performing image processing on the second Bayer pattern based on a deep neural network (DNN) algorithm obtained by performing deep learning,
wherein the image sensing unit outputs image data to an application processor (AP) which is located outside from the image sensor device, and
wherein the processor receives the image data from the AP and generates the second Bayer pattern using the image data received from the AP.
2. The image sensor device according to claim 1 , wherein the processor receives the first Bayer pattern from the image sensing unit and generates the second Bayer pattern by decomposing or re-arranging at least a portion of the first Bayer pattern.
3. The image sensor device according to claim 2 , wherein the processor decomposes or re-arranges the at least the portion of the first Bayer pattern in a range that the processor sets.
4. The image sensor device according to claim 2 , wherein the processor generates the third Bayer pattern based on the second Bayer pattern.
5. A camera module comprising:
an image sensing unit for receiving a light to generate a first Bayer pattern having a first resolution; and
a processor for generating a second Bayer pattern by performing super resolution (SR) on the first Bayer pattern and generating a third Bayer pattern having a higher resolution than the second Bayer pattern based on the second Bayer pattern,
wherein the processor outputs the third Bayer pattern by performing image processing on the second Bayer pattern based on a deep neural network (DNN) algorithm obtained by performing deep learning,
wherein the image sensing unit outputs image data to an application processor (AP) which is located outside from an image sensor device, wherein the image sensor device includes the image sensing unit and the processor, and
wherein the processor receives the image data from the AP and generates the second Bayer pattern using the image data received from the AP.
6. The camera module according to claim 5 , wherein the processor receives the first Bayer pattern from the image sensing unit, generates the second Bayer pattern by decomposing or re-arranging at least a portion of the first Bayer pattern, and generates the third Bayer pattern based on the second Bayer pattern.
7. The camera module according to claim 6 , wherein the processor decomposes or re-arranges the at least the portion of the first Bayer pattern in a range that the processor sets.