Product design difference perception model based on visual communication technology
by Yinyin Wang
International Journal of Product Development (IJPD), Vol. 26, No. 1/2/3/4, 2022

Abstract: In order to overcome the problems of high output error rate and low signal-to-noise ratio in the current product appearance design difference perception model, a product appearance design difference perception model based on visual communication technology is proposed and designed. Based on the data analysis of product appearance design difference perception, the basic information of difference perception is introduced to adjust the overall image information of product appearance design, and the product appearance design difference perception model is set based on visual communication technology, so as to achieve the purpose of design research of the overall model. The experimental results show that the output error rate of the designed model is small, the average output error is 3.08%, the peak signal-to-noise ratio is high, and the highest peak signal-to-noise ratio is 47.2. It shows that the designed model meets the needs of improving the effect of product appearance design.

Online publication date: Wed, 07-Sep-2022

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