Company Filing History:
Years Active: 1997-1998
Title: Ryuji Oomoto: Innovator in Image Compression Technology
Introduction
Ryuji Oomoto is a notable inventor based in Nagano, Japan. He has made significant contributions to the field of image compression technology. With a total of 2 patents, his work focuses on innovative methods for compressing and restoring binary images.
Latest Patents
Oomoto's latest patents include an "Apparatus and method for compressing and restoring binary image." This invention addresses the compression of N-times density binary images with multiple tones. The method ensures that each pixel's tone is converted into a compressed code that is both necessary and sufficient for distinguishing between tones. For instance, in a triple-density image with four tones, each pixel is represented by a 2-bit compressed code. The restoration process creates a dot pattern that aligns with the darker pixel of adjacent tones.
Another significant patent is the "System for compressing a halftone image and method therefor." This invention focuses on 4-fold density images, where adjacent 2-pixel areas are allocated a single 4-bit compression code. The design limits the possible patterns to 16, ensuring efficient compression while maintaining image quality. The relationships between 2-bit portions and 4-dot patterns are carefully established to enhance the compression process.
Career Highlights
Ryuji Oomoto is currently employed at Seiko Epson Corporation, where he continues to develop innovative technologies in image processing. His work has been instrumental in advancing the capabilities of image compression, making significant impacts in various applications.
Collaborations
Oomoto has collaborated with notable colleagues, including Toshiyuki Hattori and Kiyoaki Murai. Their combined expertise has contributed to the success of various projects within the realm of image technology.
Conclusion
Ryuji Oomoto's contributions to image compression technology highlight his innovative spirit and dedication to advancing the field. His patents reflect a deep understanding of the complexities involved in image processing, making him a key figure in this area of technology.