This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Other. Active years: 2016.
Company Filing History:
Years Active: 2016
Title: Innovations by Chunmei Kang in Image Encoding
Introduction
Chunmei Kang is an accomplished inventor based in Maple Grove, MN (US). She has made significant contributions to the field of image encoding, particularly through her innovative patent that focuses on low complexity and memory-efficient image CODEC systems.
Latest Patents
Chunmei Kang holds 1 patent for her invention titled "Low complexity and memory efficient image CODEC." This patent describes systems, devices, and methods for encoding a plurality of images using an encoder. The encoder determines a set of subbands associated with an input image and a set of wavelet coefficients for each subband. It generates a wavelet tree comprising nodes and a maximum quantization level for the descendants of these nodes. The encoder then assesses whether the maximum quantization level is below a certain threshold. If it is not, the wavelet coefficient is set to zero. Otherwise, the maximum quantization level is encoded, along with the set of wavelet coefficients, for transmission in a bit stream.
Career Highlights
Chunmei has demonstrated her expertise in the field of image processing through her innovative work. Her focus on creating efficient encoding methods has the potential to enhance the performance of various imaging systems.
Collaborations
Chunmei has collaborated with notable professionals in her field, including Daniel Perrine McLane and Brian Nutter. These collaborations have likely contributed to the development and refinement of her innovative ideas.
Conclusion
Chunmei Kang's contributions to image encoding technology exemplify her innovative spirit and dedication to advancing the field. Her patent reflects a significant step forward in creating efficient image processing systems.