Spectrum Pre-shaping for Video Signal Embedding
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Solution Overview
Problem
Conventional wireless communication systems face challenges in embedding information bits into image data without degrading the frequency spectrum shape and image quality, often resulting in unacceptable interference and loss of data due to the lack of consideration for the placement of information bits on image pixels.
Innovation Solution
A method is introduced to determine the optimal placement of information bits onto image pixels by testing various placements to ensure that the resulting signal meets predetermined signal criteria, such as frequency spectrum shape and image quality, using a placement function that selects pixels based on criticality and superimposes information bits onto either complete pixels or their least significant bits, with the goal of minimizing interference and maintaining acceptable image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If information bits are superimposed onto image pixels without considering placement, then information transmission is achieved, but frequency spectrum distortion and image quality degradation occur
Solution Approach 1:
The patent applies preliminary action by testing multiple possible placements of information bits onto image pixels before final transmission. The system evaluates each placement option's impact on frequency spectrum and image quality in advance, selecting the optimal placement that minimizes distortion before the actual transmission occurs.
Solution Approach 2:
The patent changes parameters by evaluating different placement configurations of information bits on image pixels. The system varies the placement parameters (which pixels carry information bits) to find the configuration that satisfies both information transmission requirements and maintains acceptable frequency spectrum characteristics.
2Loss of information
If information bits are superimposed onto image pixels, then data embedding is achieved, but image quality deteriorates
Solution Approach 1:
The patent applies local quality by selectively placing information bits on specific image pixels rather than uniformly across all pixels. The system identifies and selects particular pixels for information embedding based on their impact on overall image quality, allowing different regions of the image to have different qualities (some pixels carry information, others preserve original image data).
Solution Approach 2:
The system performs preliminary evaluation of which pixels should carry information bits by testing placements and assessing image quality impact before final transmission, ensuring that information embedding does not excessively degrade image quality.
3Object-affected harmful factors
If conventional coding techniques are used to handle spectrum shape effects, then interference reduction is achieved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by determining the optimal placement of information bits on image pixels before transmission, based on pre-calculated placement functions. This preliminary determination eliminates the need for complex coding and decoding techniques at transmission and reception, as the placement itself is optimized to minimize interference.
Solution Approach 2:
The patent extracts the problem of spectrum management from the transmission process by using placement functions that pre-determine optimal pixel selections. This separates the spectrum consideration from the coding/decoding complexity, as the placement function handles spectrum optimization independently of the transmission coding.
Data Source
AI summary
Information bits may be superimposed onto a transmitted image while reducing or minimizing the effects of the superimposed information bits on the transmitted image signal's frequency spectrum or image quality. A placement of superimposed information bits onto pixels of an image signal to be transmitted may be determined by testing a placement functions to determine whether the spectrum and/or image quality of the image signal with the superimposed information bits placed according to a placement function meets system criteria. Successive placement functions may be tested until an acceptable placement function is found. The information bits may be superimposed onto complete pixels or the information bits may be superimposed onto one or more least significant bits (LSBs) of each of the selected pixels. A transmitter may transmit superimposition information associated with a transmitted image to a receiver. A receiver may use the superimposition information to extract the information bits.