A Dark Channel Prior (DCP) is used to dehaze the hazy image. The DCP posits that a image typically has a limited number of pixels with intensity values that are minimal or almost zero in most non-sky regions. These pixels are designated as dark pixels. Dehazing via DCP is done via four primary processes. The procedure includes calculating atmospheric light, assessing the Transmission Map (TM), refining the TM, and reconstructing the image. Inaccurate assessment of the TM may result in various issues. These issues include erroneous textures and blocking artifacts. Several techniques have been developed to enhance the TM. The TM is enhanced with the use of soft matting, guided filtering, and bilateral filtering. The performance indicators, including the Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), and Mean Squared Error (MSE), are assessed, and a comparison study is conducted.