Imaging method of image sensor, imaging device and electronic device

Abstract

The invention discloses an imaging method of an image sensor, an imaging device and an electronic device. The image sensor comprises a pixel array and an optical filter array arranged on the pixel array; the optical filter array comprises M optical filter sets arranged in a Bayer mode; each optical filter set covers N pixels; and the M and N are positive integers. The imaging method comprises following steps of reading the output pixel values of the N pixels covered by each optical filter set; respectively combining the output pixel values of the N pixels covered by each optical filter set in the M optical filter sets, thus generating M combined pixel values; and generating an RGB format image according to the M combined pixel values. According to the imaging method of the embodiment of the invention, the N pixels in the pixel array are combined into a combined pixel in logic; the RGB format image can be directly output; interpolation processing is unnecessary; the number of the pixels of the generated image is reduced, while the detail reduction capacity of the image is maintained; and the user experience is improved.

Description

technical field [0001] The invention relates to the field of imaging technology, in particular to an imaging method of an image sensor, an imaging device and an electronic device. Background technique [0002] With the increasing number of pixels of mobile phone image sensors, the ability to restore image details is getting stronger and stronger, but at the same time, because the total area of ​​image sensors has not actually increased, increasing the number of pixels is at the expense of the size of a single photosensitive pixel, resulting in Mobile phones have limited ability to shoot in low light. [0003] In this regard, pixel merging technology is adopted in related technologies, for example, 4 adjacent pixels of the same filter color in a 16MP image sensor are combined into one pixel. Although this technology can improve the signal-to-noise ratio of the image sensor, the disadvantage is that The image resolution is reduced by half, which reduces the ability to restore...

AI Technical Summary

Problems solved by technology

[0002] With the increasing number of pixels of mobile phone image sensors, the ability to restore image details is getting stronger and stronger, but at the same time, because the total area of ​​image sensors has not actually increased, increasing the number of pixels is at the expense of the size of a single photosensitive pixel, resulting in Mobile phones have limited ability to shoot in low light

[0003] In this regard, pixel merging technology is adopted in related technologies, for example, 4 adjacent pixels of the same filter color in a 16MP image sensor are combined into one pixel. Although this technology can improve the signal-to-noise ratio of the image sensor, the disadvantage is that The image resolution is reduced by half, which reduces the ability to restore image details while reducing the number of pixels, thus greatly reducing the user experience

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