Lixin Feng

Lixin Feng is a highly accomplished innovator and inventor based in Beijing, China. He has made significant contributions to the field with a total of three patents to his name. His latest patents, namely the encoding method, decoding method, and device thereof, showcase his expertise in image processing and compression.

The image encoding method developed by Lixin Feng involves several key steps. Firstly, the pixels in an image frame are segmented. Following this, a pixel value prediction process is performed to obtain a first prediction value for each pixel in the current block to be encoded. A residual calculation is then carried out to determine the discrepancy between the predicted value and the actual value of each pixel in the block.

The next step involves performing discrete cosine transform, quantization, and entropy encoding on the obtained residual block. This process takes the quantized residual block for pixel value reconstruction at the encoding end while sending the entropy-encoded residual block to the decoding end. Finally, a pixel value reconstruction step is executed to reconstruct the pixel value of the previously encoded pixel.

A notable feature of Lixin Feng's approach is the classification of pixel residuals into normal and abnormal residuals. In the event of an abnormal residual, correction is applied, and the position where the abnormality occurred is recorded. The pixel is then re-predicted, resulting in a second prediction value and a corresponding second residual. This re-prediction information, along with the position of the abnormal residual, aids in accurately reconstructing and decoding pixel values.

Lixin Feng is associated with Tsinghua University, a prestigious educational institution known for its contributions to technology and innovation. He has collaborated with fellow innovators Pin Tao and Zheng Wang in his research and patent development.

Lixin Feng's work in image encoding and decoding methods has undoubtedly advanced the field of image processing. His innovative techniques and attention to detail have paved the way for improved accuracy and efficiency in image compression and reconstruction.