# 图像超分

#### 适用场景

从26.0.0版本开始，新增支持对输入的低分辨率图像进行超分辨率重建，使图像更加清晰。适用于提升图片质量、修复老照片等场景。

#### 开发步骤

1.  在使用图像超分时，将实现图像超分相关的类添加至工程。
    
    ```
    import { imageSuperResolution, visionBase } from '@kit.CoreVisionKit'
    import { image } from '@kit.ImageKit';
    import { hilog } from '@kit.PerformanceAnalysisKit';
    import { BusinessError } from '@kit.BasicServicesKit';
    import { fileIo } from '@kit.CoreFileKit';
    import { photoAccessHelper } from '@kit.MediaLibraryKit';
    ```
    
2.  在aboutToAppear中调用ImageSRAnalyzer.create()创建图像超分分析器实例，并且在aboutToDisappear中调用ImageSRAnalyzer.destroy()释放资源。
    
    ```
    private analyzer: imageSuperResolution.ImageSRAnalyzer | null = null;
    
    async aboutToAppear(): Promise<void> {
      this.analyzer = await imageSuperResolution.ImageSRAnalyzer.create();
      hilog.info(0x0000, 'ImageSRSample', 'ImageSRAnalyzer created');
    }
    
    async aboutToDisappear(): Promise<void> {
      if (this.analyzer) {
        await this.analyzer.destroy();
        hilog.info(0x0000, 'ImageSRSample', 'ImageSRAnalyzer released successfully');
      }
    }
    ```
    
3.  通过photoAccessHelper.PhotoViewPicker拉起图库选择图片，并且使用fileIo与image模块将URI转换为PixelMap，为后续超分接口准备输入数据。
    
    ```
    Button('选择图片')
      .type(ButtonType.Capsule)
      .fontColor(Color.White)
      .alignSelf(ItemAlign.Center)
      .width('80%')
      .margin(10)
      .onClick(() => {
        // 拉起图库，获取图片资源
        void this.selectImage();
      })
    ```
    
    选择图片与解码图片的方法实现如下：
    
    ```
    private async selectImage() {
      let uri = await this.openPhoto();
      if (!uri) {
        hilog.error(0x0000, 'ImageSRSample', 'Failed to get uri.');
        return;
      }
      this.loadImage(uri);
    }
    
    private async openPhoto(): Promise<string> {
      return new Promise<string>((resolve) => {
        let photoPicker: photoAccessHelper.PhotoViewPicker = new photoAccessHelper.PhotoViewPicker();
        photoPicker.select({
          MIMEType: photoAccessHelper.PhotoViewMIMETypes.IMAGE_TYPE,
          maxSelectNumber: 1
        }).then(res => {
          resolve(res.photoUris[0]);
        }).catch((err: BusinessError) => {
          hilog.error(0x0000, 'ImageSRSample', `Failed to get photo image uri.code: ${err.code}, message: ${err.message}`);
          resolve('');
        });
      });
    }
    
    private loadImage(name: string) {
      setTimeout(async () => {
        let imageSource: image.ImageSource | undefined = undefined;
        let fileSource = await fileIo.open(name, fileIo.OpenMode.READ_ONLY);
        imageSource = image.createImageSource(fileSource.fd);
        this.inputImage = await imageSource.createPixelMap();
        this.dataValues = '';
        await fileIo.close(fileSource);
      }, 100);
    }
    ```
    
4.  构造Request对象并传入待处理图片的PixelMap，调用ImageSRAnalyzer.process方法，获取超分处理结果并展示在界面上。
    
    ```
    Button('图像超分')
      .type(ButtonType.Capsule)
      .fontColor(Color.White)
      .alignSelf(ItemAlign.Center)
      .width('80%')
      .margin(10)
      .onClick(() => {
        if (!this.inputImage || !this.analyzer) {
          hilog.error(0x0000, 'ImageSRSample', 'Failed to process image super resolution.');
          return;
        }
        // 调用图像超分接口
        let imageData: visionBase.ImageData = {
          pixelMap: this.inputImage
        }
        let request: visionBase.Request = {
          inputData: imageData
        };
        request.inputData = imageData
        this.analyzer.process(request)
          .then((response: imageSuperResolution.ISPResponse) => {
            hilog.info(0x0000, 'ImageSRSample', 'Super resolution completed');
            this.outputImage = response.pixelMap;
          })
          .catch((error: BusinessError) => {
            hilog.error(0x0000, 'ImageSRSample', `Image super resolution failed. Code: ${error.code}, message: ${error.message}`);
            this.dataValues = `Error: ${error.message}`;
          });
      })
    ```
    

#### 开发实例

#### Index.ets

```
import { imageSuperResolution, visionBase } from '@kit.CoreVisionKit'
import { image } from '@kit.ImageKit';
import { hilog } from '@kit.PerformanceAnalysisKit';
import { BusinessError } from '@kit.BasicServicesKit';
import { fileIo } from '@kit.CoreFileKit';
import { photoAccessHelper } from '@kit.MediaLibraryKit';

@Entry
@Component
struct Index {
  @State inputImage: PixelMap | undefined = undefined;
  @State outputImage: PixelMap | undefined = undefined;
  @State dataValues: string = '';
  private analyzer: imageSuperResolution.ImageSRAnalyzer | null = null;

  async aboutToAppear(): Promise<void> {
    this.analyzer = await imageSuperResolution.ImageSRAnalyzer.create();
    hilog.info(0x0000, 'ImageSRSample', 'ImageSRAnalyzer created');
  }

  async aboutToDisappear(): Promise<void> {
    if (this.analyzer) {
      await this.analyzer.destroy();
      hilog.info(0x0000, 'ImageSRSample', 'ImageSRAnalyzer released successfully');
    }
  }

  build() {
    Column() {
      Text('Input Image')
        .fontSize(16)
        .margin(5)
      Image(this.inputImage)
        .objectFit(ImageFit.Fill)
        .height('25%')
      Text('Output Image')
        .fontSize(16)
        .margin(5)
      Image(this.outputImage)
        .objectFit(ImageFit.Fill)
        .height('25%')
      Text(this.dataValues)
        .copyOption(CopyOptions.LocalDevice)
        .height('10%')
        .margin(10)
        .width('60%')
      Button('选择图片')
        .type(ButtonType.Capsule)
        .fontColor(Color.White)
        .alignSelf(ItemAlign.Center)
        .width('80%')
        .margin(10)
        .onClick(() => {
          // 拉起图库
          void this.selectImage();
        })
      Button('图像超分')
        .type(ButtonType.Capsule)
        .fontColor(Color.White)
        .alignSelf(ItemAlign.Center)
        .width('80%')
        .margin(10)
        .onClick(() => {
          if (!this.inputImage || !this.analyzer) {
            hilog.error(0x0000, 'ImageSRSample', 'Failed to process image super resolution.');
            return;
          }
          // 调用图像超分接口
          let imageData: visionBase.ImageData = {
            pixelMap: this.inputImage
          }
          let request: visionBase.Request = {
            inputData: imageData
          };
          request.inputData = imageData
          this.analyzer.process(request)
            .then((response: imageSuperResolution.ISPResponse) => {
              hilog.info(0x0000, 'ImageSRSample', 'Super resolution completed');
              this.outputImage = response.pixelMap;
            })
            .catch((error: BusinessError) => {
              hilog.error(0x0000, 'ImageSRSample', `Image super resolution failed. Code: ${error.code}, message: ${error.message}`);
              this.dataValues = `Error: ${error.message}`;
            });
        })
    }
    .width('100%')
    .height('100%')
    .justifyContent(FlexAlign.Center)
  }

  private async selectImage() {
    let uri = await this.openPhoto();
    if (!uri) {
      hilog.error(0x0000, 'ImageSRSample', 'Failed to get uri.');
      return;
    }
    this.loadImage(uri);
  }

  private async openPhoto(): Promise<string> {
    return new Promise<string>((resolve) => {
      let photoPicker: photoAccessHelper.PhotoViewPicker = new photoAccessHelper.PhotoViewPicker();
      photoPicker.select({
        MIMEType: photoAccessHelper.PhotoViewMIMETypes.IMAGE_TYPE,
        maxSelectNumber: 1
      }).then(res => {
        resolve(res.photoUris[0]);
      }).catch((err: BusinessError) => {
        hilog.error(0x0000, 'ImageSRSample', `Failed to get photo image uri.code: ${err.code}, message: ${err.message}`);
        resolve('');
      });
    });
  }

  private loadImage(name: string) {
    setTimeout(async () => {
      let imageSource: image.ImageSource | undefined = undefined;
      let fileSource = await fileIo.open(name, fileIo.OpenMode.READ_ONLY);
      imageSource = image.createImageSource(fileSource.fd);
      this.inputImage = await imageSource.createPixelMap();
      this.dataValues = '';
      this.outputImage = undefined;
      await fileIo.close(fileSource);
    }, 100);
  }
}
```