Wavelet packet tree is an important way of digital signal decomposition, the calculated signal packets at various level of signal decomposition contain very important and valuable information, which can be used to describe the signal including color images. In this research paper we will take some color images, decompose them, then we select a certain packets to create a statistical parameters (features) for the color image, these features will be examined to make sure that they are unique for each color image. A histogram for each color image will be created, then the histogram will be decomposed, a certain packet will be selected to form the images features, the performance of using image histogram will be studied and analyzed, accuracy and flexibility of histogram decomposition will discussed.
Impact Factor
2022: 6.012
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