Once the design had been completed for a common optical system, the variables in the image processing technique were modified to produce accurate image reproduction. The researchers suggest collaborative planning of an optical system and the characteristics of the reconstructed image as an alternative to this consecutive design technique. On a large set of photos, researchers jointly optimize optical and algorithmic variables for image processing to reduce the difference between the original and reconstructed images. Researchers use automatic segmentation to execute our collaborative optimization approach and quickly estimate the variable gradient in a stochastic optimization technique. The results of a theoretical and numerical study on a new technique for filtering optical images from this dual optical filtering of the spatial spectra of the images were provided. Examining the shape of the optical cell transfer function and therefore its dependence on crystal cutting, optical contact form, and ultrasonic frequencies seems to be the main areas of interest. The instance of an item in the form of an amplitude gradient serves as an illustration of the results of the computer model of optical extraction features.