Company Filing History:
Years Active: 2006-2016
Title: Vladimir Lachine: Innovator in Image Compression Technology
Introduction
Vladimir Lachine is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of image compression, holding a total of six patents. His innovative methods and devices have advanced the efficiency of image data processing.
Latest Patents
Among his latest patents is an "Image compression method and apparatus for bandwidth saving." This invention describes methods and devices that utilize parallel compression of image data through a lossless compressor and a quantization compressor. The lossless compressor generates a variable length compressed bit stream, while the quantization compressor produces a fixed length compressed bit stream. The fixed length bit stream is designed to meet the size requirements of an output memory block. If the variable length bit stream exceeds the memory requirement, the fixed length bit stream is stored instead.
Another significant patent is the "Backlight dimming ratio based dynamic knee point determination of soft clipping." This invention involves a liquid crystal display (LCD) system that includes a liquid crystal panel, an LC panel controller, a backlight, and a display controller. The system employs dynamic knee point determination of soft clipping to optimize output code values sent to the LC panel.
Career Highlights
Vladimir has worked with prominent companies such as Silicon Optix Inc. and Qualcomm Incorporated. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technologies in the field of image processing.
Collaborations
Throughout his career, Vladimir has collaborated with talented individuals, including Louie Lee and Gregory Lionel Smith. These partnerships have fostered innovation and creativity in his projects.
Conclusion
Vladimir Lachine is a distinguished inventor whose work in image compression technology has made a lasting impact. His patents reflect his commitment to advancing the field and improving the efficiency of image data processing.