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CG_Project1

NTUST Computer Graphics Project1 Image Processing

操作介紹

相關技術

我有實作以下的技術:

轉灰階

RGB給不同的權重,產出灰階值。

Uniform Quantization

平均去取樣。

Populosity Quantization

以最受歡迎的幾種顏色做代表,這個我有用OpenMP去加速。

Naive Dithering

二值化。

Brightness Dithering

根據平均分布做二值化。

Random Dithering

增加雜訊,在做二值化。

Cluster Dithering

根據mask做二值化。

Floyd Dithering

把自己的誤差推往旁邊的二值化。

Color Floyd Dithering

RGB分別做Floyd Dithering。

Box Filter

跟旁邊的像素做平均。

Barlette Filter

帶權重的跟旁邊像素做平均,越遠權重越小,呈現性關係。

Gaussian Filter

帶權重的跟旁邊像素做平均,越遠權重越小,呈高斯函數分布。

Edge Detect Filter

去除低頻的資訊,就只留下高頻的資訊。

Edge Enhance Filter

不斷地強調高頻的資訊。

Half Size

把圖片大小便一半。

Double Size

把圖片變兩倍大。

畫面呈現

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