Daniele Pele

Title: Daniele Pele: Innovator in Motion Estimation and Image Processing

Introduction

Daniele Pele is a notable inventor based in Rennes, France, recognized for her contributions to the fields of motion estimation and image processing. With a total of two patents to her name, she has developed innovative methods that enhance the quality of image reconstruction and processing.

Latest Patents

Daniele Pele's latest patents include a method for sub-sampling in the axis of motion of a sequence of images. This method optimizes the spatial and temporal definition of compressed signals, allowing for a more faithful reconstruction of images. The technique involves defining a field of speed vectors for each image to be sub-sampled, ensuring that preserved picture points avoid selecting points that correspond spatially to previously preserved source points. Another significant patent is a multi-predictive method to estimate the motion of electronic picture points. This method employs fast, convergent, and adaptive processing to enable efficient sub-sampling of picture sequences without compromising the psycho-visual quality of the reconstructed images.

Career Highlights

Throughout her career, Daniele Pele has worked with prominent organizations such as Telediffusion de France and the Centre National d'Études des Télécommunications. Her experience in these institutions has contributed to her expertise in image processing and motion estimation.

Collaborations

Daniele has collaborated with various professionals in her field, including her coworker Bruno Choquet, who has played a significant role in her projects.

Conclusion

Daniele Pele's innovative work in motion estimation and image processing has made a significant impact in her field. Her patents reflect her commitment to advancing technology and improving image quality.