A white balance abnormality adjustment method, comprising: a process of determining whether a white balance abnormality exists between a channel image and an other channel image comprising: acquiring at least one target block in the channel image, and acquiring at least one reference block in the other channel image for each target block, wherein the at least one reference block is associated with a position of a respective target block, and the channel image is adjacent to the other channel image, wherein the channel image refers to a first image captured by a first camera, the other channel image refers to a second image captured by a second camera; determining a color feature representative value of each target block and a color feature representative value of each reference block associated with the position of the respective target block; determining, according to a difference between the color feature representative value of each target block and the color feature representative value of each reference block associated with the position of the respective target block, a color feature difference value between the channel image and the other channel image; and if the color feature difference value exceeds a preset threshold, it is determined that a white balance abnormality exists between the channel image and the other channel image, for a wide-angle image consisting of a plurality of channel images, performing the steps of performing, on a n-th channel image and a (n+1)-th channel image, the process of determining whether a white balance abnormality exists; in a case where a white balance abnormality exists between the n-th channel image and the (n+1)-th channel image, performing, on the (n+1)-th channel image and a (n+2)-th channel image, the process of determining whether a white balance abnormality exists; in a case where a white balance abnormality exists between the (n+1)-th channel image and the (n+2)-th channel image, determining that the (n+1)-th channel image is a white balance abnormality image, and in a case where no white balance abnormality exists between the (n+1)-th channel image and the (n+2)-th channel image, determining that the n-th channel image is a white balance abnormality image; on the channel images sequentially from left to right to determine the white balance abnormality image among the plurality of channel images and adjusting the white balance abnormality image. acquiring at least one target block in the channel image, and acquiring at least one reference block in the other channel image for each target block, wherein the at least one reference block is associated with a position of a respective target block, and the channel image is adjacent to the other channel image, wherein the channel image refers to a first image captured by a first camera, the other channel image refers to a second image captured by a second camera; determining a color feature representative value of each target block and a color feature representative value of each reference block associated with the position of the respective target block; determining, according to a difference between the color feature representative value of each target block and the color feature representative value of each reference block associated with the position of the respective target block, a color feature difference value between the channel image and the other channel image; and if the color feature difference value exceeds a preset threshold, it is determined that a white balance abnormality exists between the channel image and the other channel image, for a wide-angle image consisting of a plurality of channel images, performing the steps of performing, on a n-th channel image and a (n+1)-th channel image, the process of determining whether a white balance abnormality exists; in a case where a white balance abnormality exists between the n-th channel image and the (n+1)-th channel image, performing, on the (n+1)-th channel image and a (n+2)-th channel image, the process of determining whether a white balance abnormality exists; in a case where a white balance abnormality exists between the (n+1)-th channel image and the (n+2)-th channel image, determining that the (n+1)-th channel image is a white balance abnormality image, and in a case where no white balance abnormality exists between the (n+1)-th channel image and the (n+2)-th channel image, determining that the n-th channel image is a white balance abnormality image; on the channel images sequentially from left to right to determine the white balance abnormality image among the plurality of channel images and adjusting the white balance abnormality image.