Digital Remastering via Temporal Filtering for Large Format Cinema
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Solution Overview
Problem
Current methods for displaying 35 mm film-originated motion pictures in large format cinemas fail to deliver sufficient visual quality due to insufficient spatial resolution, and existing spatial interpolation methods either soften images or emphasize noise.
Innovation Solution
A digital re-mastering process that enhances spatial resolution through temporal image processing, using spatial interpolation to expand the image frequency spectrum and recover additional high-frequency details, while reducing noise through temporal filtering, implemented in a parallel and distributed computing system with intelligent central control for efficient image data enhancement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If spatial interpolation methods are used to enhance image resolution, then image resolution is improved, but image quality deteriorates due to softening or noise emphasis
Solution Approach 1:
The patent transitions from spatial domain processing to frequency domain processing by applying spatial interpolation to expand the image frequency spectrum. This dimensional change in the processing domain allows recovery of high-frequency details that were lost during downsampling, thereby improving resolution without the typical artifacts of spatial interpolation methods
Solution Approach 2:
The patent changes the processing parameters by applying temporal filtering operations with specific kernel functions (such as Gaussian kernels) to selectively attenuate noise frequencies while preserving image frequencies. This parameter adjustment in the frequency domain allows noise reduction without the blurring effects characteristic of spatial domain filtering
2Object-affected harmful factors
If conventional film format is used for large format cinema, then production cost is reduced, but visual quality deteriorates due to insufficient spatial resolution
Solution Approach 1:
The patent creates a digital copy of the film content through scanning, then applies digital signal processing operations to enhance the resolution. This digital copying approach allows multiple versions and formats to be derived from a single source without degradation, enabling high-resolution large format presentation from conventional film originals
Solution Approach 2:
The patent combines information from multiple temporal frames through temporal filtering and motion compensation techniques. By compositing data across time, the system reconstructs high-frequency spatial details that are not present in any single frame, achieving enhanced resolution comparable to native large format film
3Object-affected harmful factors
If temporal filtering is applied to reduce noise, then noise is reduced, but computational complexity increases
Solution Approach 1:
The patent segments the temporal filtering process into distinct computational stages: motion estimation, motion compensation, frequency domain transformation, filtering operations, and inverse transformation. This segmentation allows efficient reuse of intermediate results and parallel processing of different frequency components, reducing overall computational complexity
Solution Approach 2:
The patent performs motion estimation and compensation as preliminary steps before applying temporal filtering. By predicting and removing motion-induced changes in advance, the filtering process only needs to handle residual noise, significantly reducing the computational burden of the filtering operations themselves
Data Source
AI summary
A process and methods of digital enhancement of motion pictures and other moving image sequences for the purpose of being exhibited in an alternative display format including a large format cinema are disclosed. The invention efficiently enhances image resolution and quality through a temporal filtering process and achieves high performance using automated or interactive statistical quality evaluation methods. A system specially designed for efficient temporal computing with a parallel and distributed computing configuration equipped with a variety of optimization schemes is also disclosed. The performance of the process and the system is optimized through an intelligent controller and is scalable to support any throughput requirements demanded for concurrent motion picture releases in the original format as well as in any alternative format.