tfmri.image.psnr3d

psnr3d(img1, img2, max_val, name='psnr3d')[source]

Computes the peak signal-to-noise ratio (PSNR) between two 3D images.

This function operates on batches of multi-channel inputs and returns a PSNR value for each image in the batch.

Parameters

  • img1 – A Tensor. First batch of images. Must have rank >= 4 with shape batch_shape + [depth, height, width, channels]. Can have integer or floating point type, with values in the range [0, max_val].

  • img2 – A Tensor. Second batch of images. Must have rank >= 4 with shape batch_shape + [depth, height, width, channels]. Can have integer or floating point type, with values in the range [0, max_val].

  • max_val – The dynamic range of the images (i.e., the difference between the maximum and the minimum allowed values). Defaults to 1 for floating point input images and MAX for integer input images, where MAX is the largest positive representable number for the data type.

  • name – Namespace to embed the computation in.

Returns

The scalar PSNR between img1 and img2. The returned tensor has type tf.float32 and shape batch_shape.