photography

I need to sort a huge number of photos, and remove the blurry images (due to camera shake), the over/under exposed ones and detect whether the image was shot in the landscape or portrait orientation. Can these things be done on an image using an image processing library or are they still beyond the realms of an algorithmic solution ? Let's look at your question as three separate question. Can I find blurry images? There are some methods for finding blurry images either from : Sharpening an image and comparing it to the original Using wavelets to detect blurring ( Link1 ) Hough Transform ( Link

Given a picture taken by a simple digital that contains an image of a rectangle of known dimensions. How can I - to some degree of accuracy - determine the parameters of this camera? I am mostly interested in Pan-, Tilt- and Swing angles. Optionally distance to the rectangle would be nice. I acknowledge the fact that the focal length and resolution of the camera should be known, but it can be assumed that they are available (for example through exif metadata). Are there any simple algorithms for this problems? What you are looking for are camera calibration algorithms. A commonly used one is

What is "antibanding" in photography? I read this term in Android documentation for the android.hardware.Camera.Parameters.setAntibanding() method. Nice example from this website : Gradient effects may suffer from banding (contouring) where noticeable steps can be seen from one shade to another. Apparently this artifact can be typically caused by jpeg compression. The Antibanding() feature tries to prevent this artifact. Alexander Antibanding function should decrease fluctuations in brightness of frames or images, caused by a light source oscillations and exposure control algorithm. If light