Yee Jin Lee

Title: Innovations of Yee Jin Lee in Image Processing

Introduction

Yee Jin Lee is a prominent inventor based in San Diego, CA, known for her contributions to image processing technologies. With a focus on efficient image and video data handling, she has developed innovative methods that enhance the quality and efficiency of image processing pipelines. Her work has significant implications for various applications in digital imaging.

Latest Patents

Yee Jin Lee holds a patent for "Sampled image compression methods and image processing pipeline." This patent describes a method for processing image or video data within an image processing pipeline. The process involves receiving color filtered mosaiced raw image or video data and performing a one-level wavelet transform to generate subbands. The LH and HL subbands are de-correlated through summing and difference operations, leading to decorrelated sum and difference subbands. Further n-level wavelet transformations are applied to provide sparsified subbands for encoding. The final output includes standard color images, which undergo color correction, white balance, and gamma correction before encoding.

Career Highlights

Throughout her career, Yee Jin Lee has worked at esteemed institutions such as the University of Dayton and the University of California. Her academic and research endeavors have contributed to advancements in image processing technologies, making her a valuable asset in the field.

Collaborations

Yee Jin Lee has collaborated with notable colleagues, including Truong Q Nguyen and Keigo Hirakawa. These partnerships have fostered innovation and have led to significant advancements in their respective areas of expertise.

Conclusion

Yee Jin Lee's work in image processing exemplifies the impact of innovative thinking in technology. Her patent and career achievements highlight her role as a leading inventor in the field. Her contributions continue to influence advancements in image and video data processing.