This inventor holds 1 USPTO granted patent. Top assignee: Other. Active years: 2013.
Company Filing History:
Years Active: 2013
Title: The Innovative Mind of Moshe Guttmman
Introduction
Moshe Guttmman is a notable inventor based in Tel Aviv, Israel. He has made significant contributions to the field of data compression, particularly through his innovative methods that enhance the efficiency of two-dimensional data arrays. His work is characterized by a blend of mathematical techniques that address the challenges of data representation.
Latest Patents
Guttmman's most recent patent is titled "Method for data compression using local cosine transform." This patent focuses on methods for compressing two-dimensional data arrays that exhibit piece-wise smooth characteristics in one direction while containing oscillating events in the other direction. In one embodiment, a wavelet transform is applied in the smooth direction, while a local cosine transform (LCT) is utilized in the oscillatory direction. The resulting transform coefficients are then reordered to mimic the order of wavelet transform coefficients. Both sets of coefficients undergo quantization and entropy coding to achieve a compressed 2D image. In scenarios where oscillatory events are present in both directions, a LCT is applied in each direction, with all coefficients reordered prior to quantization and entropy coding.
Career Highlights
Throughout his career, Moshe Guttmman has demonstrated a strong commitment to advancing the field of data compression. His innovative approaches have garnered attention and recognition within the industry. With a total of 1 patent, Guttmman continues to push the boundaries of what is possible in data processing and representation.
Collaborations
Guttmman has collaborated with esteemed colleagues such as Amir Averbuch and Valery Zheludev. These partnerships have allowed him to explore new ideas and refine his techniques, contributing to the overall advancement of technology in his field.
Conclusion
Moshe Guttmman's contributions to data compression through his innovative methods highlight his role as a significant inventor in the technology landscape. His work not only addresses current challenges but also paves the way for future advancements in data processing.