Phase Residual Signal Encoding Using Periodicity and Clipping
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Solution Overview
Problem
Conventional methods for encoding residual signals in holography do not consider periodicity, leading to suboptimal compression efficiency and quality degradation in decoded images.
Innovation Solution
A method that generates and encodes residual signals by considering periodicity, adjusting them based on similarity with neighboring signals, and using a clipping function to ensure values fall within a preset range, thereby enhancing compression efficiency and minimizing quality degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transform coding is performed without considering periodicity of the phase signal, then the encoding process is simple, but compression efficiency is suboptimal and quality degradation occurs
Solution Approach 1:
The patent changes the parameter of residual signal generation by considering periodicity of the phase signal. Specifically, it generates residual signals by subtracting prediction signals from original signals while accounting for the periodic nature of phase data, thereby improving compression efficiency without significantly increasing complexity
Solution Approach 2:
The patent performs preliminary actions by generating prediction signals based on periodicity before computing residual signals. This preliminary prediction step, which leverages the periodic characteristics of phase signals, enables more effective compression while maintaining simplicity in the overall encoding process
2Productivity
If residual signals are adjusted based on neighbor residual signals, then spatial correlation is increased and compression performance is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by adjusting residual signals based on the characteristics of neighboring residual signals. Specifically, it modifies residual signals in regions where spatial correlation is strong, thereby improving compression performance in those specific areas without unnecessarily increasing complexity across the entire signal
Solution Approach 2:
The patent implements feedback by using neighbor residual signals to adjust the current residual signal. This feedback mechanism leverages spatial correlation information from neighboring regions to optimize the current region's residual signal, improving compression performance while keeping the feedback scope limited to local areas
3Manufacturing precision
If clipping function is used to constrain signal values within preset range, then quality degradation is minimized, but information loss may occur
Solution Approach 1:
The patent changes the parameter of signal value range by using a clipping function with a preset range. This clipping operation constrains the signal values to an appropriate range, minimizing quality degradation while the range selection is optimized to reduce information loss
Solution Approach 2:
The patent converts the potentially harmful effect of value constraint into a beneficial operation. By using clipping with an optimally selected preset range, it transforms what could be information loss into a quality-preserving operation that prevents excessive value deviations while maintaining signal integrity
Data Source
AI summary
The residual signal encoding and decoding method and apparatus based on a periodicity on phase signal are disclosed. One embodiment on a method for decoding an image, the method comprising: generating a prediction signal for a current signal, decoding an encoded residual signal from a bitstream, generating an initial reconstructed signal based on the prediction signal and the residual signal, and generating a transformed reconstructed signal by transforming a value of the initial reconstructed signal to have a size value of a preset range, wherein the generating of the transformed reconstructed signal generates the transformed reconstructed signal from the value of the initial reconstructed signal by using a clipping function with a minimum value of the preset range and a maximum value of the preset range as input values, and wherein the preset range is a period range of a signal.