Image or video coding method based on predistortion and training filter

The invention relates to an image or video compression coding and provides an image or video coding method based on predistortion and filter training, and the method not only can improve the coding efficiency but also avoids a ringing effect so as to guarantee the image quality. The image or video coding method based on predistortion and filter training comprises the following steps: through a low-pass filter, performing predistortion fuzzification treatment on a sequence of each frame of video before coding; at a decoding end, adopting a large amount of images with various image structures to form a training sample library at first; then, performing offline training on a filter set by the classified images; when reconstructing fuzzy images at the decoding end, classifying the image structures by adopting a combined method of ADRC (adaptive dynamic range coding) and the other classification method, finding corresponding optimal filter coefficients in a lookup table according to a classification result, forming optimal filters, performing defuzzification respectively based on image structure types, and finally performing synthesis to obtain defuzzified images. The image or video coding method is mainly applied to image or video compression coding.