One direct consequence of the opening size is that with a smaller hole less light comes in, and with a larger opening more light comes in. The opening size is quantized with the f-number and, without going further into details, the rule is that the higher the denominator, the smaller the size of the opening. What we actually change when we select a specific aperture setting on a DSLR camera, is the size of the opening. The aperture is defined in optics as a hole or opening through which light travels. With each of these factors, however, come different properties that influence the look and feel of a picture. There are generally three different factors with which we can control how exposed the camera sensor to the incoming light from the scene is. A picture in which the sensor was not exposed to enough light is said to be “under-exposed” and appears to be rather dark and analogously, an “over-exposed” picture appears very bright. Obviously, at night there is very little light available, and during the day enough light is available.Įxposure is defined as the amount of light per unit area that reaches the camera sensor. There is a direct connection between the amount of light available in the scene and how well-lit a scene with the same camera settings appears to be in the picture. One of the most important factors in photography that needs to be considered when taking a picture, besides artistic choices, is to set the camera options in such a way that the scene looks well lit.
#Nikon scan 4.0 auto exposure android#
To do so, let’s take a look at the “Exposure Triangle” and see what factors contribute to the exposure of a camera sensor, what camera properties each of these factors influences, and how we can tune the settings to get the optimal frame rate for real-time image processing applications even on these low-end Android devices. However, there are ways to work with these low-end Android devices effectively.
#Nikon scan 4.0 auto exposure software#
Of course, bad camera performance is not only measured on the hardware side of things (low resolution, slow/not precise autofocus,…) but also on the software side (not fully standardized camera parameter settings, exposure locking problems, bad FPS priority modes…). This means that if you want to develop an app that uses the camera or does real-time image processing on the input images, you will need to be aware that a significant amount of devices are still in use with poor cameras and not much processing power. This means that there are mobile devices being used that are almost a decade old, or even older! Ice Cream Sandwich, which is API level 15 and Android version 4.0.x, was first released in October of 2011. Many Android devices are still running “Ice Cream Sandwich” or “Jelly Bean” Android versions. Even though the operating system is laid out to support development on mobile devices from multiple producers and different CPU architectures, you have to keep in mind that you will be developing and deploying your app on hundreds of different types of mobile devices with varying hardware parameters. On Android, however, this is a much harder task. You only need to support a couple of devices from the same producer with less variety in hardware, including strong CPU performance and camera functions.
In this respect, the development on iOS is much simpler. Whether you are an Android enthusiast, freelancer, or a developer at a company, the reason to support low-end Android devices should be obvious – to support as many mobile devices as possible!
Low-End Android Devices: Why Even Support Them? In particular, we will check out a theoretical construct called the “Exposure Triangle”, and how we can improve the overall quality of the input-stream of frames from the mobile device’s camera and consequently also the user experience. In this blog, we will take a look at the theory of photography and its connection to the cameras available on low-end Android devices.