网站保姆-源码下载,小程序怎么开通,微信公众号售卖,网站信息安全建设方案文章目录 Android Bitmap 模糊效果实现 (二)使用 Vukan 模糊使用 RenderEffect 模糊使用 GLSL 模糊RS、Vukan、RenderEffect、GLSL 效率对比 Android Bitmap 模糊效果实现 (二) 本文首发地址 https://blog.csdn.net/CSqingchen/article/details/134656140 最新更新地址 https:/… 文章目录 Android Bitmap 模糊效果实现 (二)使用 Vukan 模糊使用 RenderEffect 模糊使用 GLSL 模糊RS、Vukan、RenderEffect、GLSL 效率对比 Android Bitmap 模糊效果实现 (二) 本文首发地址 https://blog.csdn.net/CSqingchen/article/details/134656140 最新更新地址 https://gitee.com/chenjim/chenjimblog 通过 Android Bitmap 模糊效果实现 (一)我们知道可以使用 Toolkit 实现 Bitmap 模糊还能达到不错的效果。本文主要讲解另外几种实现Bitmap模糊的方法并对比效率。
使用 Vukan 模糊
Vulkan 是一种低开销、跨平台的 API用于高性能 3D 图形。 Android平台包含 Khronos Group 的 Vulkan API规范的特定实现。 Android Vulkan 使用可以参考 https://developer.android.com/ndk/guides/graphics/getting-started
使用 Vukan 模糊的核心代码如下可参考 ImageProcessor.cpp
bool ImageProcessor::blur(float radius, int outputIndex) {RET_CHECK(1.0f radius radius 25.0f);// Calculate gaussian kernel, this is equivalent to ComputeGaussianWeights at// https://cs.android.com/android/platform/superproject//master:frameworks/rs/cpu_ref/rsCpuIntrinsicBlur.cpp;l57constexpr float e 2.718281828459045f;constexpr float pi 3.1415926535897932f;float sigma 0.4f * radius 0.6f;float coeff1 1.0f / (std::sqrtf(2.0f * pi) * sigma);float coeff2 -1.0f / (2.0f * sigma * sigma);int32_t iRadius static_castint(std::ceilf(radius));float normalizeFactor 0.0f;for (int r -iRadius; r iRadius; r) {const float value coeff1 * std::powf(e, coeff2 * static_castfloat(r * r));mBlurData.kernel[r iRadius] value;normalizeFactor value;}normalizeFactor 1.0f / normalizeFactor;for (int r -iRadius; r iRadius; r) {mBlurData.kernel[r iRadius] * normalizeFactor;}RET_CHECK(mBlurUniformBuffer-copyFrom(mBlurData));// Apply a two-pass blur algorithm: a horizontal blur kernel followed by a vertical// blur kernel. This is equivalent to, but more efficient than applying a 2D blur// filter in a single pass. The two-pass blur algorithm has two kernels, each of// time complexity O(iRadius), while the single-pass algorithm has only one kernel,// but the time complexity is O(iRadius^2).auto cmd mCommandBuffer-handle();RET_CHECK(beginOneTimeCommandBuffer(cmd));// The temp image is used as an output storage image in the first pass.mTempImage-recordLayoutTransitionBarrier(cmd, VK_IMAGE_LAYOUT_GENERAL, /*preserveData*/false);// First pass: apply a horizontal gaussian blur.mBlurHorizontalPipeline-recordComputeCommands(cmd, iRadius, *mInputImage, *mTempImage,mBlurUniformBuffer.get());// The temp image is used as an input sampled image in the second pass,// and the staging image is used as an output storage image.mTempImage-recordLayoutTransitionBarrier(cmd, VK_IMAGE_LAYOUT_SHADER_READ_ONLY_OPTIMAL);mStagingOutputImage-recordLayoutTransitionBarrier(cmd, VK_IMAGE_LAYOUT_GENERAL,/*preserveData*/false);// Second pass: apply a vertical gaussian blur.mBlurVerticalPipeline-recordComputeCommands(cmd, iRadius, *mTempImage, *mStagingOutputImage,mBlurUniformBuffer.get());// Prepare for image copying from the staging image to the output image.mStagingOutputImage-recordLayoutTransitionBarrier(cmd, VK_IMAGE_LAYOUT_TRANSFER_SRC_OPTIMAL);// Copy staging image to output image.recordImageCopyingCommand(cmd, *mStagingOutputImage, *mOutputImages[outputIndex]);// Submit to queue.RET_CHECK(endAndSubmitCommandBuffer(cmd, mContext-queue()));return true;
}Vukan 环境、资源、Pipeline 相关代码如下
https://github.com/android/renderscript-samples/tree/main/RenderScriptMigrationSample/app/src/main/cpp
上层接口参见 VulkanImageProcessor
这里需要用到 libVkLayer_khronos_validation.so 可以在以下地址下载新版本 https://github.com/KhronosGroup/Vulkan-ValidationLayers
使用 RenderEffect 模糊
实现代码如下
override fun blur(radius: Float, outputIndex: Int): Bitmap {params?.let {val blurRenderEffect RenderEffect.createBlurEffect(radius, radius,Shader.TileMode.MIRROR)return applyEffect(it, blurRenderEffect, outputIndex)}throw RuntimeException(Not configured!)
}
private fun applyEffect(it: Params, renderEffect: RenderEffect, outputIndex: Int): Bitmap {it.renderNode.setRenderEffect(renderEffect)val renderCanvas it.renderNode.beginRecording()renderCanvas.drawBitmap(it.bitmap, 0f, 0f, null)it.renderNode.endRecording()it.hardwareRenderer.createRenderRequest().setWaitForPresent(true).syncAndDraw()val image it.imageReader.acquireNextImage() ?: throw RuntimeException(No Image)val hardwareBuffer image.hardwareBuffer ?: throw RuntimeException(No HardwareBuffer)val bitmap Bitmap.wrapHardwareBuffer(hardwareBuffer, null)?: throw RuntimeException(Create Bitmap Failed)hardwareBuffer.close()image.close()return bitmap
}
inner class Params(val bitmap: Bitmap, numberOfOutputImages: Int) {SuppressLint(WrongConstant)val imageReader ImageReader.newInstance(bitmap.width, bitmap.height,PixelFormat.RGBA_8888, numberOfOutputImages,HardwareBuffer.USAGE_GPU_SAMPLED_IMAGE or HardwareBuffer.USAGE_GPU_COLOR_OUTPUT)val renderNode RenderNode(RenderEffect)val hardwareRenderer HardwareRenderer()init {hardwareRenderer.setSurface(imageReader.surface)hardwareRenderer.setContentRoot(renderNode)renderNode.setPosition(0, 0, imageReader.width, imageReader.height)}
}完整实例参考 RenderEffectImageProcessor.kt
使用 GLSL 模糊
主要流程
将输入 Bitmap 转为纹理 GLES31.glTexStorage2D( GLES31.GL_TEXTURE_2D, 1, GLES31.GL_RGBA8, mInputImage.width, mInputImage.height )通过 OpenGL 处理纹理
完整实例参考 GLSLImageProcessor.kt
RS、Vukan、RenderEffect、GLSL 效率对比
通过示例 RenderScriptMigrationSample 可以看到 他们之间效率对比结果如下 以上就是 Bitmap 模糊实现的方案二希望对你有所帮助。 如果你在使用过程遇到问题可以留言讨论。 如果你觉得本文写的还不错欢迎点赞收藏。 相关文章 Android Bitmap 模糊效果实现 (一) Android Bitmap 模糊效果实现 (二)
