实现Bitmap高斯模糊效果

import com.tencentcloudapi.common.Credential;
import com.tencentcloudapi.common.profile.ClientProfile;
import com.tencentcloudapi.common.profile.HttpProfile;
import com.tencentcloudapi.imgpro.v20201229.ImgproClient;
import com.tencentcloudapi.imgpro.v20201229.models.GaussianBlurRequest;
import com.tencentcloudapi.imgpro.v20201229.models.GaussianBlurResponse;

public class BitmapGaussianBlurUtil {
    public static Bitmap applyGaussianBlur(Bitmap bitmap) {
        try {
            // 初始化腾讯云API的相关配置
            Credential cred = new Credential("your-secret-id", "your-secret-key");
            HttpProfile httpProfile = new HttpProfile();
            httpProfile.setEndpoint("imgpro.tencentcloudapi.com");
            ClientProfile clientProfile = new ClientProfile();
            clientProfile.setHttpProfile(httpProfile);
            ImgproClient client = new ImgproClient(cred, "ap-guangzhou", clientProfile);

            // 构造高斯模糊请求
            GaussianBlurRequest req = new GaussianBlurRequest();
            req.setImageBase64(BitmapUtils.bitmapToBase64(bitmap));
            req.setKernelSize(3); // 设置高斯模糊的核大小，一般取值为3、5、7等
            req.setSigma(1.5); // 设置高斯模糊的标准差

            // 发送高斯模糊请求
            GaussianBlurResponse resp = client.GaussianBlur(req);

            // 获取处理后的图像数据，并转换为Bitmap对象
            byte[] imageBytes = Base64.decode(resp.getImage().replace("data:image/jpeg;base64,", ""), Base64.DEFAULT);
            Bitmap processedBitmap = BitmapFactory.decodeByteArray(imageBytes, 0, imageBytes.length);

            return processedBitmap;
        } catch (Exception e) {
            e.printStackTrace();
        }

        return null;
    }
}