Dependence Initial Phase Distribution for Kinoform Speckle Elimination

In recent years, the holographic technology has advanced, and it has been drawing attention in various fields. Holographic technology can be classified into two types: optical holography and Computer-generated holography. Optical holography is a method in which a hologram is produced by irradiating a real object with light such as a laser. However, in this case, there is a problem that a hologram can not be produced for an object that does not actually exist or an object that is difficult to irradiate laser. On the other hand, since Computer-generated holography calculates the hologram creation process on a computer, it is possible to produce a hologram even for a fantasy object or an object difficult to irradiate laser. In this research, we focus on Kinoform which is a type of Computer-generated hologram. Kinoform is a phase type Computer-generated hologram that uses only phase information without using amplitude information, and is known for its extremely high light utilization efficiency. However, since the amplitude information is eliminated, the problem is that the error is large. One of the factors of the error is noise called speckle. In order to remove this speckle, there is a method called speckle elimination. However, this method has a problem that the effect may not be sufficient depending on the position of the original image in the reconstructed image area. In this research, we improved this problem by changing the initial phase of the original image.