依影像內容調整之適應性插補去模糊演算法

An Adaptive Content-Oriented Frame Insertion Blur Reducing Algorithm

沈政翰(Cheng-han Shen)

指導教授 ： 龔志賢

長榮大學/資訊暨工程學院/資訊管理學系(所)/碩士(2011年)

https://doi.org/10.6833/CJCU.2011.00234

摘要

隨著科技的發展，顯示技術越來越發達，液晶螢幕的尺寸也不斷地增大。爲提升視訊的品質，也逐漸促成了解析度的提高。然而，也因為液晶顯示器的「響應時間長」、「hold-type」的驅動方式，加上「人眼視覺暫留」的特性，因此容易造成運動模糊的現象。爲了能夠有效解決影像在高速移動時所產生的運動模糊及增加畫面的流暢度，目前市面上的液晶顯示器紛紛利用補插技術來提高畫面頻率(FRUC)，並降低液晶螢幕的響應時間，以解決移動模糊的現象。然而，在補插畫面的過程中，因目前演算法還不能達到百分之百精確的補償，容易造成反效果，因而補償出錯誤的畫面。此時卻只能將補插畫面的動作關閉，以避免補插畫面錯誤，但也失去了消除運動模糊的功能。 爲了達到更好的影像品質，本論文提出「依影像內容調整之適應性插補去模糊演算法」，其為一項基於影像內容的變化選擇最合適的插補演算法進行自動調整補償畫面的技術。經由實驗結果發現，本論文提出之方法不僅能有效地解決移動模糊同時亦可達到更好的影像品質。

關鍵字

畫面頻率提高(FRUC) ； 運動模糊 ； 移動向量 ； 移動補償

並列摘要

With the improvements of technology and equipments of image display, the resolution and LCD size of displays are kept on increasing. LCD motion blur happens on the edge of the moving objects during the frame is updated and is mainly contributed by the “Slow Liquid Crystal Response”, “Hold-type Display” and the “Eye-tracking Integration”. To improve the perceptual quality and reduce motion blur for viewers, several techniques such as frame rate up-conversion (FRUC) is developed. However, the frame insertion algorithm cannot absolutely correct in the course of LCD at present such that the frame insertion process must stop to prevent inserting the incorrect frames.
In order to achieve a stable quality for most of video content, a new algorithm “An Adaptive Content-Oriented Frame Insertion Blur Reducing Algorithm” is proposed in this thesis. The video content based technique selects the suitable motion compensation. The proposed method could not only effectively solve motion blur but also achieve better video quality.

並列關鍵字

Frame Rate Up-Conversion (FRUC) ； Motion Blur ； Motion Vector ； Motion Compensation

參考文獻

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