In recent years, Steganography is deemed as a distinctive field of study utilized for the safeguarding of data from unallowed access. Steganography is signified as the skill of concealing secret messages in obvious view within numerous media sources like images, audio, texts, video, network channel and others, for the purpose of not arousing any concern. Meanwhile steganalysis is the art of using certain attack strategies onto the the steganographic structure to disclose the discrete data. This study explains clearly the numerous evaluation factors according to image steganographic algorithms. The efficacy of a steganographic method is evaluated through three principle variables, which are; embedding payload capacity, image quality measure and security measure. The emphasis of this research on image steganography that is the most famous method in the steganographic field. Typically, the Least Significant Bit is the main technique used, that is efficient, for the embedment of the secret data. Additionally, the current research presents an extensive knowledge-based Least Significant Bit (LSB) information in numerous varying images formats. The entire metrics that are displayed in this research are explained with arithmetical equations, in addition to the discussions on several significant trends carried out at the conclusion of this study.