Chi Hong Ju

Title: Chi Hong Ju: Innovator in Image Compression Technology

Introduction

Chi Hong Ju is a notable inventor based in Saratoga, California. He has made significant contributions to the field of image processing, particularly in high dynamic range (HDR) image compression. His innovative approach has led to the development of a unique patent that enhances the efficiency of image data handling.

Latest Patents

Chi Hong Ju holds a patent titled "Grid-based quantization-aware compression for high dynamic range images." This invention involves an apparatus that includes an interface and a processor. The processor is designed to determine a grid size for a compression operation based on the source bit-depth and the compressed bit-depth. It divides image frames into grids according to the grid size, analyzes pixel data for each grid to establish a gain and offset, and processes the grids accordingly. The invention also calculates values at the compressed bit-depth for each pixel data, stores compression parameters in an image header, and generates a compressed image frame that includes the image header and the pixel data values. The compression parameters consist of a table of gain and offset for each grid, facilitating the conversion of pixel data from the source bit-depth to the compressed bit-depth.

Career Highlights

Chi Hong Ju is currently employed at Ambarella International LP, a company known for its advanced video compression and image processing technologies. His work at Ambarella has allowed him to focus on innovative solutions that address the challenges of high-quality image compression.

Collaborations

Chi collaborates with Pei-Chen Lin, a fellow innovator in the field. Their partnership has contributed to the advancement of image processing technologies and has fostered a creative environment for developing new ideas.

Conclusion

Chi Hong Ju's contributions to image compression technology exemplify the impact of innovative thinking in the field of image processing. His patent on grid-based quantization-aware compression showcases his expertise and commitment to enhancing image quality.