Haifa, Israel

Rafael Retter


Average Co-Inventor Count = 3.8

ph-index = 3

Forward Citations = 90(Granted Patents)


Company Filing History:


Years Active: 1995-1997

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3 patents (USPTO):Explore Patents

Title: Rafael Retter: Innovator in Image Compression Technology

Introduction

Rafael Retter is a notable inventor based in Haifa, Israel, recognized for his contributions to image compression technology. With a total of 3 patents, he has made significant advancements in the field, particularly in improving bit rate control and scale factor control in image coding.

Latest Patents

One of Retter's latest patents is an image compression coder that features improved bit rate control. This method involves several steps, including partitioning image signals into blocks, calculating discrete cosine transform (DCT) coefficients, and determining a code allocation factor for each block based on block activity. The process ensures efficient allocation of bits for each block, enhancing the overall compression quality. Another significant patent focuses on an image compression coding device that transforms time domain image data into frequency domain data. This device compresses the data by applying quantization coefficients scaled by a non-linear relationship, optimizing the compression process through statistical analysis.

Career Highlights

Rafael Retter is currently employed at Zoran Corporation, where he continues to develop innovative solutions in image processing. His work has been instrumental in advancing the capabilities of image compression technologies, making them more efficient and effective for various applications.

Collaborations

Throughout his career, Retter has collaborated with talented individuals such as Aharon Gill and Isaac Shenberg. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Rafael Retter's contributions to image compression technology highlight his expertise and dedication to innovation. His patents reflect a deep understanding of the complexities involved in image processing, positioning him as a key figure in the field.

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