2023-10-19 18:47:17
This year’s Sony Mobile flagships, the Xperia 1 V and Xperia 5 V. Other than the chipset, the main evolution from the previous model that is common to both models is the main camera sensor. Equipped with the new Exmor-T (IMX888), it is certain that the camera performance in dark places has been greatly improved. On the other hand, Apple’s latest model, iPhone 15/15 Plus, also uses Sony’s two-layer transistor pixel stacked CMOS image sensor, although the sensor size is smaller. Is this a sensor similar to the IMX888 installed in the Xperia 1 V/5 V? It is also said that However, it has now been discovered that even though they are the same “two-layer transistor pixel stacked CMOS image sensor,” the structures of these two sensors are significantly different. Xperia 1 V’s IMX 888 ↓ iPhone 15’s dual-layer transistor pixel stacked CMOS image sensor ↓ I know that they look quite different, but to be honest, as an amateur, I don’t really understand what the difference is. However, there seems to be no doubt that the elongated rectangular part in the middle is the photodide, and you can see that the iPhone 15’s is nearly twice as thick as the Xperia 1 V’s. If this part is a photodiode and the width and depth are the same, then there is a large difference in the size of the two photodiodes. In the official video introducing this dual-layer transistor pixel stacked CMOS image sensor technology, Sony states that the image quality in the dynamic range is “determined by the amount of light accumulated by the photodiode.” The selling point of this two-layer transistor pixel stacked sensor is that it can now secure twice the saturation signal amount compared to the conventional structure. The sensor size of the IMX888 equipped with the Xperia 1 V is larger than that of the iPhone 15, so I can’t say for sure, but what do you think? Does this mean that the iPhone 15’s camera sensor, which is equipped with a larger photodiode, is theoretically better able to shoot in a dynamic range? If anyone knows more regarding this, I would appreciate it if you might provide any corrections or additions. Source: TechInsight via Twitter
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