Add random_sharpness processing layer

[shashaka]

I implemented the RandomSharpness image processing feature before working on rand_augment, as it includes related image processing functionalities.

Here is my gist

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 29.41176% with 48 lines in your changes missing coverage. Please review.

Project coverage is 81.88%. Comparing base (be1191f) to head (337c33f).

Files with missing lines	Patch %	Lines
...processing/image_preprocessing/random_sharpness.py	26.15%	48 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #20697      +/-   ##
==========================================
- Coverage   81.95%   81.88%   -0.07%     
==========================================
  Files         546      547       +1     
  Lines       50966    51034      +68     
  Branches     7884     7893       +9     
==========================================
+ Hits        41768    41788      +20     
- Misses       7278     7326      +48     
  Partials     1920     1920              

Flag	Coverage Δ
keras	81.71% <29.41%> (-0.07%)	⬇️
keras-jax	63.87% <29.41%> (-0.05%)	⬇️
keras-numpy	58.81% <29.41%> (-0.04%)	⬇️
keras-openvino	29.89% <29.41%> (-0.01%)	⬇️
keras-tensorflow	64.59% <29.41%> (-0.05%)	⬇️
keras-torch	63.93% <29.41%> (-0.05%)	⬇️

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[shashaka]

{{function_node __wrapped__DepthwiseConv2dNative_device_/job:localhost/replica:0/task:0/device:CPU:0}} Depthwise convolution on CPU is only supported for NHWC format [Op:DepthwiseConv2dNative] name:

To resolve this error, I adjusted the image axis based on the data_format to ensure compatibility with the depthwise_conv operation. This adjustment was necessary because depthwise convolution on CPU is only supported in the NHWC format.