動態圖像信息在模糊邊緣與明度對比分析上之視覺評量方法研究

A Visualized Evaluation Method for BEW and Brightness Contrast Analysis of Dynamic Images Information

在數位媒體設計的應用上，動態圖像信息所佔的比例更是佔大部分，因此瞭解動態圖像信息對觀者在視覺心理上的影響，使其符合數位設計需求，其實是個非常重要的課題。所以在動態圖像呈現被普及化的今天，設計師更應該對相關動態圖像呈現的媒介技術（例如：液晶螢幕、單槍投影、顯示器等），也必須有同步的認知與瞭解，這樣在數位設計的管理過程中，如動畫設計、網頁設計或多媒體設計等，才能期待有更好的設計品質呈現。研究目的：（1）探討動態圖像信息在模糊邊緣與明度對比上對觀者心理所產生的影響。（2）提出呈現動態圖像信息之視覺評量方法與改良建議。（3）最後的研究成果，希望可以做為設計實務之參考。研究方法：本研究透過視覺評量方法以及高速攝影取像技術，兩者同步進行驗證測試。另在統計分析部份，本研究導入「審美信息率」（aesthetics information ratio, AIR）與「正面與負面信息」的概念，藉由「動態圖像信息熵式」統一轉換BEW，便於分析高複雜度的動態圖像信息。最後從研究結果顯示，透過正負面信息的概念，可以對動態圖像信息獲得初步的驗證，亦即當AIR 趨近於1 時，代表觀者所看到的動態模糊寬度尚在可接受範圍，亦表示信息傳達介於中間程度。其次，當AIR數值大於1 者，代表觀者所看到的動態模糊寬度較小，亦表示信息傳達較為清楚。反之，當AIR 小於1時，則代表觀者所看到的動態模糊寬度較大，亦表示信息傳達較為模糊與不清楚。

Most of the dynamic image has to be presented in the application of digital media design. Therefore, it is essential to understand the influence of dynamic image on observers’ visual psychology and make the information conform to the demands of media design. Designers at modern times should keep abreast of pertinent media technology in imaging display and so forth so as to the quality in multimedia design, games design, or web page design. The purpose of this study is triplefold: (1) to explore the related methods for visualized evaluation of dynamic images and examine the influence of dynamic images on viewers’ visual psychology, (2) to propose a visualized evaluation method for displaying dynamic images and improving imaging performance, (3) to provide validated results for design applications and design practice. In this study, visualized evaluation criteria were offered to support high-speed photography and perform simultaneous verifying tests. Accordingly, the concept of AIR was introduced in this research to transform the BEW through the dynamic images entropy and a validation test was conducted by visualized evaluation and high speed imaging. It is found that static or dynamic images are affected by brightness contrast to some extent in human being’s visual acuity. In conclusion, a brand-new idea in this research is to bring in the AIR to validate complicated dynamic images information and the concept of positive and negative information is proposed. The bigger number of AIR (>1.0) means a better quality of information communication. On the contrary, the quality of information communication is worse when the AIR is less than one.