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ThinkMind // International Journal On Advances in Software, volume 11, numbers 3 and 4, 2018 // View article soft_v11_n34_2018_6


Subjective Assessment of Text Quality on Smartphone Display with Super Resolution

Authors:
Aya Kubota
Seiichi Gohshi

Keywords: Nonlinear signal processing, Super-Resolution, Subjective assessment, Smartphone

Abstract:
It is only a decade ago that smartphones appeared on the market. However, the market has since grown rapidly, and people of all ages now use smartphones. In many cases, people read text on their smartphones, but depending on the design of a website, it may be difficult to read its text. By improving the resolution of the text, the readability of the text can be improved. One research area for increasing the resolution is Super Resolution (SR), which includes Non-Linear Signal Processing Super- Resolution SR (NLSP), a method that can be implemented on smartphones. However, NLSP has never been applied to text to improve readability. Text has many kinds of characters, such as Chinese characters, and alphabets of different languages. Features of these characters are different. We applied NLSP to Japanese text including Chinese characters, katakana and numbers, displayed on Liquid Crystal Display (LCD), and verified its effectiveness using a subjective assessment. In addition, we applied NLSP to English text and compared the difference between image quality text with and without NLSP. The subjective assessment results show that NLSP can increase the resolution of Japanese and English text. Thus, the assessment results for text on LCD are discussed in this paper.

Pages: 276 to 285

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: December 30, 2018

Published in: journal

ISSN: 1942-2628

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