Signal Filtering Applied Research In Agriculture Digital Image Transmission

In this paper,256x256 fare grass and barnyard grass weeds images (containing impulsive noise, Gaussian pulse) as the background, using hybrid median filter-wavelet transform agriculture things digital image transfer process low-image distortion, high frequency partial image resolution and low improvement, namely from the signal energy spatial functions, while its doing the Fourier transform and the condition is satisfied based on wavelets ?((?). Numerical modeling of elastic and signal translation function to obtain a set of wavelet sequence, the main method of wavelet transform can provide the time-frequency window, breaking the traditional certain time window; not only can effectively compensate for the Fourier transform in the time domain and frequency domain signal missing insufficient local analysis and can solve the problem of image resolution and frequency resolution; this will facilitate the application of digital image processing in the field of value of agricultural things signal transmission.