// ///////////////////////////////////////////////////////////////
// 最临近插值算法----不考虑坐标的小数部分
// 参数：img：要缩放的Image对象
// dstW:目标图像宽
// dstH:目标图像高
// comp：组件参数，比如Applet
// ///////////////////////////////////////////////////////////////
public static Image simpleScale(Image img, int dstW, int dstH) {
OperateImage OI = new OperateImage();
int[] scaled, src;
double widthFactor, heightFactor;
int srcX = 0, srcY = 0, srcW, srcH;
src = OI.takeImg(img, img.getWidth(null), img.getHeight(null));
scaled = new int[dstW * dstH]; // 存放缩放后的图片
srcW = img.getWidth(null);
srcH = img.getHeight(null);
widthFactor = srcW / (dstW + 0.0);
// System.out.println("widthFactor:"+widthFactor);
heightFactor = srcH / (dstH + 0.0);
// System.out.println("heightFactor:"+heightFactor);
for (int a = 0; a < dstH; a++)
for (int b = 0; b < dstW; b++) {
if ((b * widthFactor) % 1 >= 0.5) srcX = (int) (b * widthFactor) + 1;
else srcX = (int) (b * widthFactor);
if ((a * heightFactor) % 1 >= 0.5) srcY = (int) (a * heightFactor) + 1;
else srcY = (int) (a * heightFactor);
if (srcX > srcW - 1) srcX = srcW - 1;
if (srcY > srcH - 1) srcY = srcH - 1;
scaled[a * dstW + b] = src[srcY * srcW + srcX];
}
// System.out.println("最临近插值算法完成！");
return OI.madeImg(scaled, dstW, dstH);
}
// ///////////////////////////////////////////////////////////////
// 双线性内插值算法
// 参数：img：要缩放的Image对象
// dstW:目标图像宽
// dstH:目标图像高
// comp：组件参数，比如Applet
//
// 公式：f(i+u,j+v) = (1-u)(1-v)f(i,j) + (1-u)vf(i,j+1) + u(1-v)f(i+1,j) +
// uvf(i+1,j+1)
//
// ///////////////////////////////////////////////////////////////
public static Image doubleLinearScale(Image img, int dstW, int dstH) {
OperateImage OI = new OperateImage();
Image imgTemp;
int[] scaled, src;
int srcW, srcH;
int R, G, B;
double widthFactor, heightFactor, tempX, tempY;
// double srcX_float = 0.0, srcY_float = 0.0;// 坐标的小数部分
// int srcX_int = 0, srcY_int = 0;// 坐标的整数部分
src = OI.takeImg(img, img.getWidth(null), img.getHeight(null));
ColorModel cm = ColorModel.getRGBdefault();
for (int j = 0; j < src.length; j++) {
R = cm.getRed(src[j]);
G = cm.getGreen(src[j]);
B = cm.getBlue(src[j]);
if (R >= 200 && G >= 200 && B >= 200) src[j] = 0xffffffff;
else src[j] = 0xff000000;
}
scaled = new int[dstW * dstH]; // 存放缩放后的图片
srcW = img.getWidth(null);
srcH = img.getHeight(null);
widthFactor = srcW / (dstW + 0.0);
// System.out.println("widthFactor:"+widthFactor);
heightFactor = srcH / (dstH + 0.0);
// System.out.println("heightFactor:"+heightFactor);
for (int a = 0; a < dstH; a++)
for (int b = 0; b < dstW; b++) {
tempX = b * widthFactor;
tempY = a * heightFactor;
scaled[a * dstW + b] = getDestPixle(src, srcW, srcH, tempX, tempY);
}
// System.out.println("双线性内插值算法完成！");
imgTemp = OI.madeImg(scaled, dstW, dstH);
ImageFilter filter = new BWFilter();
return Toolkit.getDefaultToolkit()
.createImage(new FilteredImageSource(imgTemp.getSource(), filter));
// return imgTemp;
}
// ///////////////////////////////////////////////////////////////
// 最临近插值算法--考虑坐标的小数部分
// 参数：img：要缩放的Image对象
// dstW:目标图像宽
// dstH:目标图像高
// comp：组件参数，比如Applet
// ///////////////////////////////////////////////////////////////
public static Image simpleScaleSpcial(Image img, int dstW, int dstH) {
OperateImage OI = new OperateImage();
int[] scaled, src;
double widthFactor, heightFactor, tempX, tempY, distance, tempDis;
double srcX_float = 0.0, srcY_float = 0.0; // 坐标的小数部分
int srcX_int = 0, srcY_int = 0; // 坐标的整数部分
int srcX = 0, srcY = 0, srcW, srcH;
src = OI.takeImg(img, img.getWidth(null), img.getHeight(null));
scaled = new int[dstW * dstH]; // 存放缩放后的图片
srcW = img.getWidth(null);
srcH = img.getHeight(null);
widthFactor = srcW / (dstW + 0.0);
// System.out.println("widthFactor:"+widthFactor);
heightFactor = srcH / (dstH + 0.0);
// System.out.println("heightFactor:"+heightFactor);
for (int a = 0; a < dstH; a++)
for (int b = 0; b < dstW; b++) {
distance = Double.MAX_VALUE;
tempX = b * widthFactor;
tempY = a * heightFactor;
srcX_int = (int) tempX;
srcX_float = tempX % 1;
srcY_int = (int) tempY;
srcY_float = tempY % 1;
tempDis = (srcX_float * srcX_float) + (srcY_float * srcY_float);
if (tempDis < distance)
// 左上角 (0,0)
{
srcX = srcX_int;
srcY = srcY_int;
distance = tempDis;
}
tempDis = ((srcX_float - 1) * (srcX_float - 1)) + (srcY_float * srcY_float);
if (tempDis < distance)
// 右上角 (1,0)
{
srcX = srcX_int + 1;
srcY = srcY_int;
distance = tempDis;
}
tempDis = (srcX_float * srcX_float) + ((srcY_float - 1) * (srcY_float - 1));
if (tempDis < distance)
// 左下角 (0,1)
{
srcX = srcX_int;
srcY = srcY_int + 1;
distance = tempDis;
}
tempDis = ((srcX_float - 1) * (srcX_float - 1)) + ((srcY_float - 1) * (srcY_float - 1));
if (tempDis < distance)
// 右下角 (1,1)
{
srcX = srcX_int + 1;
srcY = srcY_int + 1;
}
if (srcX > srcW - 1) srcX = srcW - 1;
if (srcY > srcH - 1) srcY = srcH - 1;
scaled[a * dstW + b] = src[srcY * srcW + srcX];
}
// System.out.println("最临近插值算法(特殊)完成！");
return OI.madeImg(scaled, dstW, dstH);
}
// 生成home页面的主文章列表html代码
public String generateHomeMainHtml(List<TArticle> articles) throws Exception {
String listHtml = "";
if (articles != null) {
int size = articles.size();
for (int i = 0; i < size; i++) {
TArticle article = articles.get(i);
// 组织标签的html
String tagsHtml = "";
String[] tags = article.getArticle_Tag().split(",");
for (int j = 0; j < tags.length; j++) {
String tag = URLEncoder.encode(URLEncoder.encode(tags[j], "utf-8"));
if (j == 0) {
tagsHtml +=
"<a title='"
+ tags[j]
+ "' rel='tag' href='/doit/search/"
+ tag
+ "/0/2/search' style='font-size:13px;'>"
+ tags[j]
+ "</a>";
} else {
tagsHtml +=
" , <a title='"
+ tags[j]
+ "' rel='tag' href='/doit/search/"
+ tag
+ "/0/2/search' style='font-size:13px;'>"
+ tags[j]
+ "</a>";
}
}
OperateString operateString = new OperateString();
String contentHtml = article.getArticle_Content();
// String contentHtml = "dsafkjbsdkds<pre class='brush: js;'>function
// helloSyntaxHighlighter(){return 'hi!';}</pre><div class='ui segment '><img src='123.png'
// /><IMG src='456.png' /></div>afkjbsdkdsafkjbsdk中文结尾";
// 过滤图片
OperateImage operateImage = new OperateImage();
contentHtml = operateImage.filterImage(contentHtml);
// 过滤html所有标签
contentHtml = operateString.filterHtmlTag(contentHtml);
// 截取字符串
contentHtml = operateString.interceptCharacters(contentHtml, 0, 200);
String item = "";
item += "<div id='item" + article.getArticle_ID() + "' class='ui stacked segment'>";
item += " <h2 class='article_title'>";
item +=
" <a href='/doit/show/"
+ article.getArticle_ID()
+ "' style='font-size:24px;'>"
+ article.getArticle_Title()
+ "</a>";
item += " </h2>";
item += " <h2></h2>";
item += " <div class='article_date'>";
item +=
" <span property='dc:date dc:created' content='2013-11-10T12:30:01+08:00' datatype='xsd:dateTime' rel='sioc:has_creator' style='margin-right:20px;'> 发布时间 : "
+ article.getArticle_Date()
+ " </span>";
item += " <span style='color:#434A54;'>Tags : </span>";
item += tagsHtml;
item += " </div>";
item += " <div class='row'>";
item +=
" <a class='thumbnail' href='/doit/show/"
+ article.getArticle_ID()
+ "' style='float:left;width:240px;oveflow:hidden;'>";
item +=
" <img src='"
+ article.getArticle_Cover()
+ "' style='height: 175px; width: 100%; display: block;' data-src='holder.js/100%x175'>";
item += " </a>";
item +=
" <span id='artContent"
+ article.getArticle_ID()
+ "' class='sDiv article_content'>"
+ contentHtml
+ "</span>";
item += " </div>";
item += "</div>";
listHtml += item;
}
}
System.out.println(listHtml);
return listHtml;
}
