👉 The term "deconvolution" is a statistical technique used in signal processing and image analysis. It refers to the process of removing noise from an image or other data set, often by subtracting a reference value (often known as the zero vector) from each pixel's intensity values. In simple terms, it involves finding the mean (average) intensity for each pixel and then taking the difference between this mean and the original value. This difference is then used to reconstruct the original image or data set
