Android PNG混合模式
在Photoshop中有两种混合模式,例如:Android PNG混合模式,android,image-processing,android-image,Android,Image Processing,Android Image,在Photoshop中有两种混合模式,例如: 色斑 倍增 变暗 减轻 覆盖层 (更多信息请参见此处:) 例如,对于模式Color Burn“查看每个通道中的颜色信息,并通过增加两者之间的对比度使基色变暗以反映混合色。与白色混合不会产生任何变化” 这是我的代码: Bitmap blendBitmap = BitmapFactory.decodeStream(ctx.getAssets().open(filename)); Canvas canvas = new Canvas(srcBitmap
- 色斑
- 倍增
- 变暗
- 减轻
- 覆盖层
Bitmap blendBitmap = BitmapFactory.decodeStream(ctx.getAssets().open(filename));
Canvas canvas = new Canvas(srcBitmap);
canvas.drawBitmap(blendBitmap, 0, 0, null); // ?
p.recycle();
p = null;
例如,是否可以应用颜色燃烧混合模式,而不是简单地将图像绘制在其他图像的上方(如在这段小代码中)?这并不困难
我使用NDK(因为性能)处理像素。混合模式的这些信息非常有用:
我的最终解决办法是:
#define ChannelBlend_ColorBurn(A, B) ((uint8_t) ((B == 0) ? B : max(0, (255 - ((255 -
#define ChannelBlend_Alpha(A, B, O) ((uint8_t) (O * A + (1 - O) * B))
#define ChannelBlend_AlphaF(A, B, F, O) (ChannelBlend_Alpha(F(A, B), A, O))
typedef struct {
uint8_t red;
uint8_t green;
uint8_t blue;
uint8_t alpha;
} rgba;
// Blend
JNIEXPORT void
JNICALL Java_com_package_Filter_jniBlend(JNIEnv* env, jobject obj, jobject bitmapA,
jobject bitmapB, jobject bitmapOut, jint mode) {
// Properties
AndroidBitmapInfo infoA;
void* pixelsA;
AndroidBitmapInfo infoB;
void* pixelsB;
AndroidBitmapInfo infoOut;
void* pixelsOut;
int ret;
// Get image info
if ((ret = AndroidBitmap_getInfo(env, bitmapA, &infoA)) < 0 ||
(ret = AndroidBitmap_getInfo(env, bitmapB, &infoB)) < 0 ||
(ret = AndroidBitmap_getInfo(env, bitmapOut, &infoOut)) < 0) {
return;
}
// Check image
if (infoA.format != ANDROID_BITMAP_FORMAT_RGBA_8888 ||
infoB.format != ANDROID_BITMAP_FORMAT_RGBA_8888 ||
infoOut.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
return;
}
// Lock all images
if ((ret = AndroidBitmap_lockPixels(env, bitmapA, &pixelsA)) < 0 ||
(ret = AndroidBitmap_lockPixels(env, bitmapB, &pixelsB)) < 0 ||
(ret = AndroidBitmap_lockPixels(env, bitmapOut, &pixelsOut)) < 0) {
LOGE("Error! %d", ret);
}
int h = infoA.height;
int w = infoA.width;
int wh = w * h;
int n;
rgba* inputA = (rgba*) pixelsA;
rgba* inputB = (rgba*) pixelsB;
rgba* output = (rgba*) pixelsOut;
rgba pA, pB;
int x, y;
for (y = 0; y < h; y++) {
for (x = 0; x < w; x++) {
n = y * w + x;
pA = inputA[n];
pB = inputB[n];
float alpha = (float) pB.alpha / 255.0;
output[n].red = ChannelBlend_AlphaF(pA.red, pB.red, ChannelBlend_ColorBurn, alpha);
output[n].green = ChannelBlend_AlphaF(pA.green, pB.green, ChannelBlend_ColorBurn, alpha);
output[n].blue = ChannelBlend_AlphaF(pA.blue, pB.blue, ChannelBlend_ColorBurn, alpha);
}
}
// Unlocks everything
AndroidBitmap_unlockPixels(env, bitmapA);
AndroidBitmap_unlockPixels(env, bitmapB);
AndroidBitmap_unlockPixels(env, bitmapOut);
}
#定义ChannelBlend\u ColorBurn(A,B)((uint8\u t)((B==0)?B:max(0,(255-((255-)
#定义信道混合α(A,B,O)((uint8_t)(O*A+(1-O)*B))
#定义ChannelBlend_AlphaF(A,B,F,O)(ChannelBlend_Alpha(F(A,B,A,O))
类型定义结构{
uint8_t红色;
uint8_t绿色;
uint8_t蓝;
uint8_tα;
}rgba;
//调和
JNIEXPORT无效
JNICALL Java_com_package_Filter_jniBlend(JNIEnv*env、jobject obj、jobject bitmappa、,
jobject位图B、jobject位图输出、jint模式){
//性质
AndroidBitmapInfo infoA;
void*pixelsA;
AndroidBitmapInfo信息数据库;
void*pixelsB;
AndroidBitmapInfo信息输出;
void*pixelsOut;
int ret;
//获取图像信息
如果((ret=AndroidBitmap_getInfo(env、bitmapA和infoA))<0||
(ret=AndroidBitmap_getInfo(env、bitmap和infoB))<0||
(ret=AndroidBitmap_getInfo(env、位图输出和infoOut))<0){
返回;
}
//检查图像
如果(infoA.format!=ANDROID_位图_格式_RGBA_8888||
infoB.format!=ANDROID_位图_格式_RGBA_8888||
infoOut.format!=ANDROID_位图_格式_RGBA_8888){
返回;
}
//锁定所有图像
如果((ret=AndroidBitmap_lockPixels(env、位图和像素))<0||
(ret=AndroidBitmap_lockPixels(env、bitmapB和pixelsB))<0||
(ret=AndroidBitmap_lockPixels(环境、位图输出和像素输出))<0){
LOGE(“错误!%d”,ret);
}
int h=信息高度;
int w=信息宽度;
int-wh=w*h;
int n;
rgba*输入=(rgba*)像素;
rgba*输入B=(rgba*)像素SB;
rgba*输出=(rgba*)像素输出;
rgba-pA,pB;
int x,y;
对于(y=0;y
提高性能的小贴士:在我为单像素创建公式后,最好将值存储在某种缓存中,以便下次在没有公式的情况下更快地访问它。你的意思是想在图像上写一个过滤效果吗?这不完全是过滤效果,而是两层相互混合的某种方式。它起作用了!当然,有一些拼写错误,比如ChannelBlend_ColorBurn的声明,但是,非常感谢!你实际上保存了我的应用程序!我终于可以抛弃ImageMagick了,谢谢!