The transfer of an image can often lead to image noise, which degrades the quality of the image. There are various filter techniques that can be utilized to reduce or remove the noise in an image. There are two types of filtering methods that use the linear structure and the filtering method without considering the linear structure when denoising the image degraded by salt-and-pepper impulse noise. Filtering methods that consider the linear structure can effectively repair the linear structure in noisy images. However, previous methods that consider line structure have certain disadvantages. To overcome these disadvantages, we propose a new filtering method that considers the line structure for a monochrome image. In the proposed filtering method, two filtering windows with a line structure were considered. In the first filtering window, horizontal and vertical linear structures were considered while a linear structure in 12 directions was considered in the second one. Different linear filtering windows were selected for the proposed filtering method according to the different characteristics of the linear structure. When judging the linear structure, a judgment is made based on the information of two adjacent lines of the central line. The effectiveness of the proposed method was verified experimentally.