Assessment Of Grayscale Image in Terms of Texture Quality Using Reference Image

Texture is one of the most important image's features, which has an important role in some image-processing applications such as segmentation and classification. The main problem is to obtain how much textures are reminded from reference image in the distorted image. To solve this problem image quality, assessment (IQA) plays main role and compares the amount of difference of texture between both images. This paper proposed a novel method to assess fully reference (FR) texture quality assessment, which is more sensible and sensitive to pixel arrangements. The grayscale images used for our experiments are BRODATZ imagery. The experimental results show superiority of proposed method compared to some popular texture assessment methods.

Keywords:

image quality assessment(IQA) , texture , local ternary pattern(LTP)