Color image forming apparatus

Abstract

The improved color image forming apparatus is so designed that the image forming condition computing means having a learning capability, such as a neural network having a back propagation learning algorithm, is caused to learn preliminarily those image forming conditions which are appropriate for the specific type of a documents (e.g. a reflection-type original or a transmission-type original such as a negative film or a reversal film) or the original image carried on the documents such as sea, mountains or a snow scene, examples of such image forming conditions being exposing conditions (e.g. the balance of three primary colors and their densities) and the conditions of developing, fixing and otherwise processing light-sensitive materials, and image is formed on a particular light-sensitive material under the image forming conditions computed by the computing means which has learned said appropriate conditions. The visible image reproduced with this apparatus always has a good color balance, is free from deterioration of image quality, has none of the unwanted color shades and is optimum for the particular document or original image. As a further advantage, even unskilled users can easily operate this apparatus to reproduce an image that meets the specific preference of the laboratory or the user.