code: def image_config():
      return {
          "name": "image_column_name",
          "type": "image",
          "tied": None,
          "encoder": {
              "type": "stacked_cnn",
              "conv_layers": None,
              "num_conv_layers": None,
              "filter_size": 3,
              "num_filters": 256,
              "strides": (1, 1),
              "padding": "valid",
              "dilation_rate": (1, 1),
              "conv_use_bias": True,
              "conv_weights_initializer": "xavier_uniform",
              "conv_bias_initializer": "zeros",
              "conv_norm": None,
              "conv_norm_params": None,
              "conv_activation": "relu",
              "conv_dropout": 0,
              "pool_function": "max",
              "pool_size": (2, 2),
              "pool_strides": None,
              "fc_layers": None,
              "num_fc_layers": 1,
              "output_size": 16,
              "fc_use_bias": True,
              "fc_weights_initializer": "xavier_uniform",
              "fc_bias_initializer": "zeros",
              "fc_norm": None,
              "fc_norm_params": None,
              "fc_activation": "relu",
              "fc_dropout": 0,
          },
          "preprocessing": {
              "height": 28,
              "width": 28,
              "num_channels": 1,
              "scaling": "pixel_normalization",
          },
      }
  
file_path: ludwig/tests/ludwig/features/test_image_feature.py
imports: from copy import deepcopy
  from typing import Dict
  import pytest
  import torch
  from ludwig.constants import BFILL, CROP_OR_PAD, ENCODER, ENCODER_OUTPUT, INTERPOLATE, TYPE
  from ludwig.features.image_feature import _ImagePreprocessing, ImageInputFeature
  from ludwig.schema.features.image_feature import ImageInputFeatureConfig
  from ludwig.schema.utils import load_config_with_kwargs
  from ludwig.utils.misc_utils import merge_dict
  from ludwig.utils.torch_utils import get_torch_device
label_desc: Use image node_id 1 for calling a global function with example usage: image_config() and returns: dict