Signal processing apparatus and signal processing method

A signal processing method, comprising:

• an acquisition step of acquiring input data having a plurality of input signals I(x) corresponding to a plurality of pixel position X respectively, and detection target data having detection target signals as a target to be detected;
• a noise strength setting step of setting, based on the input data and the detection target data, a noise strength K used to subject the input signals I(x) to a predetermined stochastic resonance processing, the noise strength K showing the strength of noise added to the input signals I(x);
• and
• a stochastic resonance processing step of using the noise strength K set by the noise strength setting step and a threshold value T to quantize the input signals to subject the input signals I(x) to the predetermined stochastic resonance processing to output processed data, wherein
• the predetermined stochastic resonance processing is a processing based on a formula in which processed data J(x) is represented by I(x), the noise strength K and the threshold value T and the processed data J(x) corresponds to a result in a case where M is infinite in the following formula,
• J
• 
• (
• x
• )
• =
• 1
• M
• 
• ∑
• m
• =
• 1
• M
• 
• j
• 
• (
• x
• ,
• m
• )
• 
• :
• j(x,m) being a result of a processing in which a value obtained by multiplying a random number noise N(x,m) of 1 to 0 by the noise strength K is added to the input signal I(x,m) and further binarized, M indicating the number of the processing among which the random number noises are different and m indicating one of the plurality processing the noise strength setting step sets the noise strength K based on a function of a correlation coefficient and the noise strength K:
• the correlation coefficient showing a correlation between the result of a case where each of the plurality of input signals I(x) is subjected to the predetermined stochastic resonance processing and the detection target data.

A non-transitory computer-readable storage medium which stores a program for allowing a signal method to be executed by a computer, the signal processing method comprising:

• an acquisition step of acquiring input data having a plurality of input signals I(x) corresponding to a plurality of pixel position X respectively, and detection target data having detection target signals as a target to be detected;
• a noise strength setting step of setting, based on the input data and the detection target data, a noise strength K used to subject the input signals I(x) to a predetermined stochastic resonance processing, the noise strength K showing the strength of noise added to the input signals I(x);
• and
• a stochastic resonance processing step of using the noise strength K set by the noise strength setting step and a threshold value T to quantize the input signals to subject the input signals I(x) to the predetermined stochastic resonance processing to output processed data, wherein
• the predetermined stochastic resonance processing is a processing based on a formula in which processed data J(x) is represented by I(x), the noise strength K and the threshold value T and the processed data J(x) corresponds to a result in a case where M is infinite in the following formula,
• J
• 
• (
• x
• )
• =
• 1
• M
• 
• ∑
• m
• =
• 1
• M
• 
• j
• 
• (
• x
• ,
• m
• )
• 
• :
• j(x,m) being a result of a processing in which a value obtained by multiplying a random number noise N(x,m) of 1 to 0 by the noise strength K is added to the input signal I(x,m) and further binarized, M indicating the number of the processing among which the random number noises are different and m indicating one of the plurality processing the noise strength setting step sets the noise strength K based on a function of a correlation coefficient and the noise strength K:
• the correlation coefficient showing a correlation between the result of a case where each of the plurality of input signals I(x) is subjected to the predetermined stochastic resonance processing and the detection target data.

A signal processing apparatus, comprising:

• an acquisition unit configured to acquire input data having a plurality of input signals corresponding to a plurality of pixel position X respectively, and detection target data having detection target signals as a target to be detected;
• a noise strength setting unit configured to set, based on the input data and the detection target data, a noise strength used to subject the input signals to a predetermined stochastic resonance processing, the noise strength showing the strength of noise added to the input signals;
• and
• a stochastic resonance processing unit configured to use the noise strength set by the noise strength setting unit and a threshold value to quantize the input signals to subject the input signals to the predetermined stochastic resonance processing to output processed data, wherein
• the predetermined stochastic resonance processing is a processing for outputting, in a method of adding noises to the input signal to perform binarization processing steps in a parallel manner to synthesize the results, a value corresponding to a value obtained when the parallel number is infinite, and
• the noise strength setting unit sets the noise strength based on a function of a correlation coefficient showing a correlation between the result of a case where each of the plurality of input signals are subjected to the predetermined stochastic resonance processing and the detection target data and the noise strength.