<p>Turbid media imaging is very crucial in some scenarios. Scattering of light results in haze, low contrast, diminished sharpness, and artifacts in the captured image. The image processing techniques applied to the captured image depend upon the scattering media environment, due to which a single technique might not yield the same results for different scattering media. One might have to utilize different techniques on the same image for better clarity. Some classical image processing techniques are Dark Channel Prior (DCP), Contrast Limited Adaptive Histogram Equalization (CLAHE), and Local Laplacian Filter (LLF). Optimization of these image processing techniques is also an important step that is often ignored in most of the studies. This paper presents a detailed methodology for the optimization of these classical image processing techniques, particularly for objects obscured by turbid media. The effect of optimization on the finally processed image is discussed in the paper.</p>