Pei-Chen Lin

Title: Pei-Chen Lin: Innovator in Image Compression Technology

Introduction

Pei-Chen Lin is a notable inventor based in Tainan City, Taiwan. He has made significant contributions to the field of image processing, particularly in the area of high dynamic range image compression. His innovative approach has led to the development of a patented technology that enhances image quality while optimizing storage efficiency.

Latest Patents

Pei-Chen Lin holds a patent for "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 an offset, and processes the grids accordingly. The technology 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. Pei-Chen Lin has 1 patent to his name.

Career Highlights

Pei-Chen Lin is currently employed at Ambarella International LP, where he continues to innovate in the field of image processing. His work focuses on developing advanced technologies that improve the efficiency and quality of image compression.

Collaborations

Pei-Chen Lin collaborates with Chi Hong Ju, a talented woman in the field, contributing to the advancement of their projects and enhancing the overall innovation process.

Conclusion

Pei-Chen Lin's contributions to image compression technology exemplify the impact of innovative thinking in the field of image processing. His patented work not only advances technology but also sets a foundation for future developments in high dynamic range imaging.