QR碼一般被用於嵌入訊息，使民眾可以很方便地用手機捕捉QR碼就能獲取需要的訊息 ，在過去設計QR碼為了能夠提高解碼的成功率，所以QR碼的樣子看起來會像是隨機的黑白格子，從外觀看沒有任何視覺效果，近年來設計QR碼不僅只是為了能夠獲取訊息，在視覺上也必須兼顧美觀卻不失解碼的能力，本論文探討系統性QR碼美化的方法。
我們依據兩個方法來生成具有高視覺性的QR碼，第一種方法，利用同位檢測矩陣(parity check matrix)，我們由QR碼中心向外挑選具視覺區塊，然後再以同位檢測矩陣進行編碼，即可得到美化後的QR碼，第二種方法，利用生成矩陣(generator matrix)，選擇好視覺區塊後經由高斯喬登消去法處理，再利用里德-索羅門碼(Reed-Solomon code，簡稱RS code)的特性做運算，其結果也會是一個合法的里德-索羅門碼，使得編碼出來的QR碼也會和第一種方法效果一樣，我們將這種QR碼統稱為基線QR碼(baseline QR code)。
而在訊息回填QR碼的規則我們也做了一些調整，原本標準的方法是從第一個RS方塊(RS block)開始回填，而我們的方法則是沿著QR碼的邊緣做回填，這樣的好處是可以將中間視覺的部分最大化保留，不過因此在解碼的時候也需要利用我們邊緣回填的規則將我們需要的文字取出來，之後進一步利用亮度公式去調整基線QR碼的整體亮度，使得基線QR碼經過渲染之後在視覺上是彩色的，且利用一般的解碼器(例如ZXing或是手機上的QR解碼App)也能解出來。

QR codes, wherein the underlying technique is the Reed-Solomon (RS) codes, are generally used to embed messages so that people can easily capture the embedded message with their mobile phones. In the past, QR codes were designed to improve the success rate of decoding, so the QR code looks like random black and white grids with no visual effect by the eyes. In recent years, the design of QR codes aims not only to obtain information but also to be visually beautiful (without losing the ability of decoding). This thesis addresses methods for systematic QR code beautification.
We propose two methods to generate QR codes with high visual quality The first method uses the parity check matrix. We select the visual blocks outward from the center of the QR code, and then use the parity check matrix to perform the encoding. Then, the beautified QR code can be obtained. The second method is to use the generator matrix, which is obtained by the Gaussian Jordan elimination method. The QR codes obtained from the two methods are identical. We refer to this QR code as the baseline QR code.
We have also made some adjustments to the rules for backfilling QR codes. The standard method is to start backfilling from the first RS block, while our method is to backfill along the edge of the QR code. The advantage of our method is that we can retain the most visual areas. In the meantime, we also need to use our edge backfilling rules to extract the text we need when decoding. Moreover, we use the brightness formula to adjust the overall brightness of the baseline QR code, so that the baseline QR code is rendered close to the original image. The proposed beautified QR codes, wherein the central area is emphasized to the maximum extent, can be decoded by the standard QR decoders, such as ZXing or QR decoding APPs for smart phones.

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