Company Filing History:
Years Active: 2002
Title: The Innovative Contributions of David Gillman
Introduction
David Gillman is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of image processing, particularly through his innovative methods for reconstructing images. His work has implications for various applications, including digital imaging and compression technologies.
Latest Patents
One of David Gillman's key patents is titled "Method for reconstructing a bi-level image from a low quality discrete transform image." This patent describes a sophisticated image reconstruction method that generates higher quality images from compressed bi-level images. The method employs thresholding techniques to enhance pixel quality, transforming the threshold image into transform coefficients. These coefficients are selectively clamped into quantization bins, resulting in modified coefficients that correspond to a higher quality reconstructed image. The process includes applying an inverse-transform on these modified coefficients, allowing for a comparison between the starting and reconstructed images to assess the degree of improvement. This method can be iteratively repeated to achieve an image that closely resembles the original, surpassing the quality of the initial lower-quality image.
Career Highlights
David Gillman is associated with Iterated Systems, Inc., where he has been able to apply his expertise in image processing. His innovative approach has positioned him as a valuable asset in the field, contributing to advancements in image reconstruction technologies.
Collaborations
Throughout his career, David has collaborated with talented individuals such as Mihai Sipitca and Lyman Porter Hurd. These collaborations have fostered an environment of innovation and creativity, leading to significant advancements in their respective fields.
Conclusion
David Gillman's contributions to image processing through his patented methods demonstrate his commitment to innovation and excellence. His work continues to influence the field, paving the way for future advancements in image reconstruction technologies.
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