Dictionary-Based interpolation technique for text quality enhancement

• Main Authors: Sung In Cho, Suk-Ju Kang
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2021-04-01
• Series: Journal of Information Display
• Subjects: index terms: interpolation; image up-scaling; text enhancement; resolution enhancement
• Online Access: http://dx.doi.org/10.1080/15980316.2020.1843556

This paper presents a new dictionary-based interpolation technique to improve text quality when the resolution of an image is increased, so that the text can be displayed on a high-resolution display device. The proposed algorithm analyzes an image and extracts the shape of the text from the image. Further, it encodes and decodes the pattern of the text, and enhances the legibility of the text using a pre-trained code dictionary. Therefore, the proposed method improves text quality in terms of sharpness. In the experiments, the proposed algorithm outperformed benchmark methods for all test images. Specifically, the proposed method reduced the blur index by up to 0.112.