Textures represent regions of homogeneous properties (e.g. color, directionality, edge distribution etc.). They cover wide areas of the visual scene with less importance as compared to structures. The typical image/video encoders aim at optimizing the bitrate within a certain distortion level. The distortion is usually measured via comparing pixel values, which could highly deviates from the perceived distortions especially for texture components. In this paper, we review and verify our recent work on using texture similarity metrics as a measure of perceived distortion in HEVC, and optimize encoder accordingly. Experimental results reveal the same findings in [1] [2] that when a texture similarity metric is used, the visual quality of the decoded textures is improved as well as the rate-similarity performance.