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The identity transform is a data transformation that copies the source data into the destination data without change. The identity transformation is considered an essential process in creating a reusable transformation library.

Image transformation techniques based on complex processing of the statistical characteristics of multi-band data sets can be used to reduce this data redundancy and correlation between bands. One such transform is called principal components analysis.

The XSLT identity transformation is a stylesheet that transforms a document into itself. It does this using a single template that matches any node or any attribute ( "node( )|@*" ) and whose content is the single <xsl:copy> action that copies the current node.

What Are The Types Of Image Transformation? Fourier Transform. This transformation is mainly adopted for the processing of an image. ... Discrete Cosine Transformation (DCT) ... Visualization. ... Image Sharpening & Restoration. ... Image Retrieval. ... Measurement Of Pattern. ... Image Recognition. ... Image Acquisition.

The difference between the log- transformation function and the power-law functions is that using the power-law function a family of possible transformation curves can be obtained just by varying the ?.

Identity transition is shown by a straight line. In this transition, each value of the input image is directly mapped to each other value of output image. That results in the same input image and output image. And hence is called identity transformation.