Image processing apparatus and image processing method

An image processing apparatus, comprising:

• a unit configured to acquire reading image data composed of a plurality of pixel signals by imaging an image printed by a printing unit based on input image data having a plurality of pixel signals;
• a stochastic resonance processing unit configured to execute a stochastic resonance processing to obtain a result corresponding to a result that is calculated in a case where each of the plurality of pixel signals constituting the reading image data is added noise and subjected to a binary processing and a plurality of results obtained by parallelly performing above step are synthesized and the parallel number is infinite equivalency;
• and
• an output unit configured to output the result of the stochastic resonance processing,
• wherein
• the stochastic resonance processing unit sets, with regard to a pixel signal as a processing target among the plurality of pixel signals, at least one of a strength of the noise and a threshold value used for the binary processing based on a pixel signal of the input image data corresponding to the pixel signal.

An image processing method, comprising:

• a step of acquire reading image data composed of a plurality of pixel signals by imaging an image printed based on input image data composed of a plurality of pixel signals;
• a stochastic resonance processing step of executing a stochastic resonance processing in which each of the plurality of pixel signals constituting the reading image data is added noise and subjected to a binary processing and a plurality of results obtained by parallelly performing above step are synthesized;
• and
• an output step of outputting the result of the stochastic resonance processing,
• wherein
• the stochastic resonance processing step sets, with regard to a pixel signal as a processing target among the plurality of pixel signals, at least one of a strength of the noise and a threshold value used for the binary processing based on a pixel signal of the input image data corresponding to the pixel signal.

An image processing method, comprising:

• a step of acquiring reading image data composed of a plurality of pixel signals by imaging an image printed based on input image data composed of a plurality of pixel signals;
• a stochastic resonance processing step of executing a stochastic resonance processing to obtain a result corresponding to a result that is calculated in a case where each of the plurality of pixel signals constituting the reading image data is added noise and subjected to a binary processing and a plurality of results obtained by parallelly performing above step are synthesized and the parallel number is infinite;
• and
• an output step of outputting the result of the stochastic resonance processing,
• wherein
• the stochastic resonance processing step sets, with regard to a pixel signal as a processing target among the plurality of pixel signals, at least one of a strength of the noise and a threshold value used for the binary processing based on a pixel signal of the input image data corresponding to the pixel signal.

A non-transitory computer-readable storage medium which stores a program for allowing a computer to execute an image processing method, the image processing method comprising:

• a step of acquiring reading image data composed of a plurality of pixel signals by imaging an image printed based on input image data composed of a plurality of pixel signals;
• a stochastic resonance processing step of executing a stochastic resonance processing to obtain a result corresponding to a result that is calculated in a case where each of the plurality of pixel signals constituting the reading image data is added noise and subjected to a binary processing and a plurality of results obtained by parallelly performing above step are synthesized and the parallel number is infinite;
• and
• an output step of outputting the result of the stochastic resonance processing,
• wherein
• the stochastic resonance processing step sets, with regard to a pixel signal as a processing target among the plurality of pixel signals, at least one of a strength of the noise and a threshold value used for the binary processing based on a pixel signal of the input image data corresponding to the pixel signal.