Image processing apparatus for correcting contrast of image

Abstract

In a contrast correcting apparatus 1 which divides an image into unit regions and carries out a contrast correction for each of unit regions, a gray level histogram calculation section 201 generates gray level histograms of the image, and a scene judgment section 202 makes a judgment on the state of the image. When the result of the judgment shows that the image is in a state such as overexposure, underexposure, low contrast or high contrast, a region size determining section 204 sets a greater size as the size of the unit regions. Based upon the size of the unit regions thus determined and the amount of contrast correction determined by the contrast correction amount determining section 203, gray level transformation curves are formed for the respective unit regions, and by using these, the contrast corrections are carried out on the respective unit regions. With this method, it is possible to properly reduce the occurrence of unevenness in gray levels in an image that tends to arise in the case when the size of the unit regions is small although the amount of contrast correction (the amount of emphasis) is great.

Description

[0001] This application is based on application No. 2000-051446 filed in Japan, the contents of which are hereby incorporated by reference. BACKGROUND OF THE INVENTION [0002] 1. Field of the Invention [0003] The present invention relates to a technique for correcting contrast of images. [0004] 2. Description of the Background Art [0005] Conventionally, a contrast correcting operation for emphasizing contrast of images picked up by a digital camera or a scanner has been carried out. Here, in general, the contrast refers to a difference in gray levels between a background part and a main subject part in an image or a difference between the maximum gray level and the minimum gray level in an image; in this case, however, it is assumed that the contrast simply refers to the degree of differences between bright portions and dark portions distributed in an image. Therefore, in the following description, the correction of the contrast substantially corresponds to a process for correcting a...

AI Technical Summary

Benefits of technology

[0010] The object of the present invention is to reduce unevenness in gray levels appropriately upon correcting the contrast of an image.

Problems solved by technology

However, in this method (hereinafter, referred to as “correction method with local histograms), it is necessary to generate gray level histograms for respective pixels, and the resulting problem is that a great amount of calculations have to be made.

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