本研究提出一個新的基於Bandelet Transform的影像修補技術，此方法在多重解析 multi-resolution（hierarchical representation）的結構下進行影像修補 ，利用不 同解析階層中被破壞區域的鄰近紋理或輪廓之幾何流向作為修補工作的參考依據。首 先，根據影像之幾何流向進行Warp Transform，使其紋理變化轉換到最接近的水平或垂 直軸上。接著利用帶狀切割的方式,將影像中非相關性紋理分解至不同頻帶後，再結合 自相似比對法進行影像修補工作。所提出的方法能夠簡化修補決策的複雜性，並且提高 在HVS(人類視覺系統)下影像修補的效果，尤其針對具有幾何邊緣(具有高頻率變化紋理) 之破損影像的修補效果特別顯著。 This study proposes a novel image inpainting technique based on bandelet transform. This technique using multi-resolution layer to carry out image restoration, it mainly utilizes the geometrical flow of the neighboring texture of the damaged region as the basis of restoration. Firstly, According to these geometrical flows of image to carry out the warp transform, it makes the textural variation transforms into the nearest horizontal or vertical domain axis. Then utilizes the bandelet decomposition method to decompose the non-related texture into different bands, and combines the affine searching method to carry out the image restoration. The proposed method can simplify the complexity of the repairing decision method, and improve the performance of image inpainting under HVS. Especially for image with many geometry edges, the performance of image inpainting is very remarkable using the proposed technique.
