Pseudo-random sequences are predictable and repeatable, and have statistical properties similar to random noise, so they are widely used in communication, radar, cryptography and other fields. This paper mainly takes m sequence commonly used in pseudo-random sequence as an example to study its production principle, implementation process and related characteristics, and uses MATLAB software for modeling and simulation. The simulation results show that the key to the generation of m sequence is to have appropriate feedback logic, that is, to find the original polynomial, and m sequence has good autocorrelation characteristics. Finally, its application in spread spectrum communication is given.
KEYWORDS: Video, Digital watermarking, Video coding, Video compression, Video processing, Internet, Copyright, Computer networks, Human vision, Reflection
According to the encoding characteristics of MPEG-4 video standard and the encoding principle of MPEG-4, this paper proposes a video watermarking algorithm based on MPEG-4, which is suitable for copyright protection. The basic idea of the algorithm is as follows: firstly, the watermark information is obtained from the middle and low frequency range of the DCT coefficients after the brightness component is quantified, and then the watermark information is embedded into the DCT coefficients of all the brightness components of the video sequence I frame. Finally, the simulation experiment and result analysis are given. Simulation results show that the algorithm has good invisibility.
Acne vulgaris, commonly called as acne, is a skin problem that occurs when oil and dead skin cells clog up in a person’s pores. This is because hormones change which makes the skin oilier. The problem is people really do not know the real assessment of sensitivity of their skin in terms of fluid development on their faces that tends to develop acne vulgaris, thus having more complications. This research aims to assess Acne Vulgaris using luminescent visualization system through optical imaging and integration of image processing algorithms. Specifically, this research aims to design a prototype for facial fluid analysis using luminescent visualization system through optical imaging and integration of fluorescent imaging system, and to classify different facial fluids present in each person. Throughout the process, some structures and layers of the face will be excluded, leaving only a mapped facial structure with acne regions. Facial fluid regions are distinguished from the acne region as they are characterized differently.
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