MySQL存儲進程的優化實例。本站提示廣大學習愛好者：（MySQL存儲進程的優化實例）文章只能為提供參考，不一定能成為您想要的結果。以下是MySQL存儲進程的優化實例正文
這是一個很成心思的殊效，模仿攝像機拍攝電視屏幕畫面時湧現點狀顆粒的後果。顆粒的年夜小經由過程變換矩陣完成，可以隨意率性調理，有興致研討的同伙可以測驗考試更多的後果，代碼沒有經由優化，只是一個粗拙的Demo，年夜家可以自行改良。
1.獲得圖象數據
img.src = ’http://bloglaotou.duapp.com/wp-content/themes/frontopen2/tools/filter/image2.jpg’;
canvas.width = img.width;
canvas.height = img.height;
var context = canvas.getContext(“2d”);
context.drawImage(img, 0, 0);
var canvasData = context.getImageData(0, 0, canvas.width, canvas.height);
2.設置過濾矩陣
var m_VideoType=0;
var pattern=new Array();
switch (m_VideoType)
{
case0://VIDEO_TYPE.VIDEO_STAGGERED:
{
pattern = [
0, 1,
0, 2,
1, 2,
1, 0,
2, 0,
2, 1,
];
break;
}
case1://VIDEO_TYPE.VIDEO_TRIPED:
{
pattern = [
0,
1,
2,
];
break;
}
case2://VIDEO_TYPE.VIDEO_3X3:
{
pattern =
[
0, 1, 2,
2, 0, 1,
1, 2, 0,
];
break;
}
default:
{
pattern =
[
0, 1, 2, 0, 0,
1, 1, 1, 2, 0,
0, 1, 2, 2, 2,
0, 0, 1, 2, 0,
0, 1, 1, 1, 2,
2, 0, 1, 2, 2,
0, 0, 0, 1, 2,
2, 0, 1, 1, 1,
2, 2, 0, 1, 2,
2, 0, 0, 0, 1,
1, 2, 0, 1, 1,
2, 2, 2, 0, 1,
1, 2, 0, 0, 0,
1, 1, 2, 0, 1,
1, 2, 2, 2, 0,
];
break;
}
}
var pattern_width = [ 2, 1, 3, 5 ];
var pattern_height = [6, 3, 3, 15 ];
3.獲得過濾數據
for ( var x = 0; x < canvasData.width; x++) {
for ( var y = 0; y < canvasData.height; y++) {
// Index of the pixel in the array
var idx = (x + y * canvasData.width) * 4;
var r = canvasData.data[idx + 0];
var g = canvasData.data[idx + 1];
var b = canvasData.data[idx + 2];
var nWidth = pattern_width[m_VideoType];
var nHeight = pattern_height[m_VideoType];
var index = nWidth * (y % nHeight) + (x % nWidth);
index = pattern[index];
if (index == 0)
var r = fclamp0255(2 * r);
if (index == 1)
var g = fclamp0255(2 * g);
if (index == 2)
var b = fclamp0255(2 * b);
// assign gray scale value
canvasData.data[idx + 0] = r; // Red channel
canvasData.data[idx + 1] = g; // Green channel
canvasData.data[idx + 2] = b; // Blue channel
canvasData.data[idx + 3] = 255; // Alpha channel
// 加上黑色的邊框
if(x < 8 || y < 8 || x > (canvasData.width - 8) || y > (canvasData.height - 8))
{
canvasData.data[idx + 0] = 0;
canvasData.data[idx + 1] = 0;
canvasData.data[idx + 2] = 0;
}
}
}
4.寫入過濾後的數據
context.putImageData(canvasData, 0, 0);
5.參考材料
代震軍ImageFilter開源項目
