Objective: To demonstrate compression, illumination enhancement, registration, segmentation, automated classification and steganography using digitized cervical images.
Materials and methods: The Hybrid Multi-Scale Vector Quantization algorithm developed at Texas Technological University and other automated systems were used to improve digitized cervical images.
Results: We demonstrated high levels of image compression, illumination enhancement, registration, automated segmentation and classification and steganography of digitized cervical images.
Conclusions: Digitized cervical images can be altered to facilitate research of cervical neoplasia.