Daniel Gruhl

Title: The Innovative Contributions of Daniel Gruhl

Introduction

Daniel Gruhl is a prominent inventor based in Cambridge, MA. He has made significant contributions to the field of data hiding in printed images. With a total of 6 patents to his name, Gruhl's work showcases his expertise and innovative thinking.

Latest Patents

Gruhl's latest patents include a "Method and apparatus for data hiding in printed images." This technique allows for the embedding of a mark in a printed image, which can be interpreted by an inexpensive printing system. The method involves altering values of a characteristic parameter in a specific region of the host image, ensuring that it fits within the print space treated by the printer in a single pass of the printing head. Another notable patent is the "Method and apparatus for multi-bit zoned data hiding in printed images." This technique embeds a tracking number as a series of bits in a printed image by altering characteristic parameter values at pseudo-random locations within an embedding zone. The alteration significantly changes the expectation value of some linear combinations of mathematical functions of the values at those locations. A marker bit encoded with higher certainty aids in orienting the zones during decoding, allowing for the detection and identification of the tracking number through the behavior of sums of random variables, based on the Patchtrack approach.

Career Highlights

Gruhl is affiliated with the Massachusetts Institute of Technology, where he continues to push the boundaries of innovation in his field. His work has garnered attention for its practical applications and potential impact on the printing industry.

Collaborations

Some of Gruhl's notable coworkers include Walter R. Bender and Norishige Morimoto, who have collaborated with him on various projects.

Conclusion

Daniel Gruhl's contributions to the field of data hiding in printed images exemplify his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of the complexities involved in embedding information within printed media.