Halftoning is not one strictly defined photomechanical process. It describes two processes. First, continuous tones are converted into a series of dots. Than, images are printed by using various methods of mechanical printing. Printed images simulate continuous tone. Halftoning methods are generally divided according to the structure of the elements into two groups: amplitude modulated (AM) and frequency modulated (FM) halftoning. Basic methods of digital halftoning are monotone segmentation, table halftoning, threshold matrix and error diffusion. HVS test methods are objective image quality measurements based on the human visual system. There are several methods based on the HVS. WSNR is applied to the image by calculating the difference between the continuous tone and the processed image and than weighting the error of the response frequency of HVS with the given CSF. 1,000 black-and-white images where halftoned using three methods: table halftoning, threshold matrix and error diffusion. Halftoning was performed by the program MATLAB. After halftoning, quality measurement of halftoned images was conducted using WSNR and results were compared. Results show that error diffusion method produces halftoned images of best quality, threshold matrix produces halftoned images of lesser quality and table halftoning produces images of worst quality. It is possible to produces better quality images by changing the layout of the elements in the table.