Abstract
In this paper we deal with the problem of calculating Automatic Exposure (AE) in digital cameras. The main problem that often occurs when taking pictures is correct exposure setting. Typically, smartphones with built-in cameras, as well as “cheap” compact digital cameras do not offer possibility of manual exposure setting. The reason is that users do not have knowledge how to set the optimal exposure, or just simply do not want to do this. Therefore, it forces that user has to rely on automatic exposure algorithms implemented in the camera. Unfortunately, these algorithms often do not perform well what causes improperly exposed images. In this paper, new algorithms for automatic exposure are proposed with the special focus on minimizing overexposed areas in the images. We have implemented proposed algorithms and conducted experiments for their efficiency, comparing with some modern cameras or smartphones. Experimental verification (enhanced by statistical analysis) shows that proposed algorithms give statistically less overexposed areas than comparative AEs.
Highlights
Photography has been popular since a long time
Another problem is that smartphones and compact cameras usually do not offer the possibility of manual exposure
Application calculates exposure speed, according to algorithms described in the previous section and obtained exposure value is used in the camera manual mode for taking a photo
Summary
Photography has been popular since a long time. Both in analogue and digital photography the most important factor is optimum exposure setting. In professional photography it is much easier to deal with this problem because it is possible to use different kind of photographing filters. Much worse it looks in point of view of smartphones or small compact cameras in which it is impossible to use such solutions. There is need to propose such algorithms that will make it possible to reduce overexposed areas in the images, but at the same time they will not underexpose photographs. In this paper we propose algorithms for automatic exposure with particular emphasis on the shutter speed. These algorithms use weighted average and exponential smoothing methods. Methods using exponential smoothing mainly concentrate on reducing outlier values
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