Adaptive Visibility Improvement Method for Color Digital Image

摘要

In recent year, the great amounts of digital images are in common use for variety output ways, such as in CRT display or hard copy with printers. However, it is very difficult to picturize and read out as images all of the objects or information contained in the scene that actually is sensed with the human eye. In the human eye, the range on which the eye focuses fits well in a field of vision. With this adjustment mechanism, we can sense details to a certain extent even when the differences in brightness object or scene are large. However, it is difficult to express the information about such subjects or scenery in an image when only a constant exposure can be established like photographs. For example, taking a picture against the sun cause those darker sections in the scene blacken and a brighter section blench. In this regard, a method is proposed in which we don't lose the information sensed with the eyes when producing an output of an image. This is a method for expressing more information in an image by collapsing the balance of brightness intentionally an expanding local dynamic ranges. In this method, we deal with the brightness of color image (monochrome image), which is created from the color image represented as RGB value. This method is an automatic image-processing algorithm that minimizes loss of information and sense of incongruity by collapsing the coloration balance in an output image as a whole on a minimum level.