System and method of automatic image enhancement using system generated feedback mechanism

A computer program product for automatically enhancing image data, the computer program product comprising:

• one or more non-transitory computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media, the program instructions comprising:
• program instructions to receive image data;
• program instructions to utilize a neural network to analyze the image data to predict how each of a plurality of image enhancement processes will affect the image data;
• program instructions to utilize the neural network to calculate a reward value for each of the plurality of enhancement processes that can be applied to the image data;
• program instructions to analyze the image data to identify features contained within the image data;
• program instructions to determine if the identified features match stored features stored in a datastore;
• program instructions to count a number of matched identified features and a number of non-matching identified features;
• program instructions to determine if the image data should be enhanced or not, wherein the determination is based on the predictions how each of the plurality of image enhancement processes will affect the image data, wherein the determination is based on the number of matched identified features and based on the number of non-matching identified features;
• in response to determining that the image data should be enhanced, then program instructions to determine which of the plurality of image enhancing process should be applied to the image data, wherein determination is based on the reward value for each of the plurality of enhancement processes;
• and
• program instructions to apply the determined enhanced processes to the image data.

A computer system for automatically enhancing image data, the computer system comprising:

• one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
• program instructions to receive image data;
• program instructions to utilize a neural network to analyze the image data to predict how each of a plurality of image enhancement processes will affect the image data;
• program instructions to utilize the neural network to calculate a reward value for each of the plurality of enhancement processes that can be applied to the image data;
• program instructions to analyze the image data to identify features contained within the image data;
• program instructions to determine if the identified features match stored features stored in a datastore;
• program instructions to count a number of matched identified features and a number of non-matching identified features;
• program instructions to determine if the image data should be enhanced or not, wherein the determination is based on the predictions how each of the plurality of image enhancement processes will affect the image data, wherein the determination is based on the number of matched identified features and based on the number of non-matching identified features;
• in response to determining that the image data should be enhanced, then program instructions to determine which of the plurality of image enhancing process should be applied to the image data, wherein determination is based on the reward value for each of the plurality of enhancement processes;
• and
• program instructions to apply the determined enhanced processes to the image data.