An image signal processing method, wherein the method comprises: obtaining a binary source X N of an image; performing polar code source compression on the binary source X N comprising: performing a polarization operation on X N based on channel polarization characteristics of polar coding, to obtain a to-be-compressed bit set U N, wherein the to-be-compressed bit set U N comprises a compressed reserved bit set U S and a compressed discarded bit set U S C; and obtaining a compressed reserved bit set U S from the to-be-compressed bit set U N; the image signal processing method further comprises: performing channel coding on the compressed reserved bit set U S, to obtain a coded bit sequence; outputting the coded bit sequence; performing source decoding on the compressed reserved bit set U S as polar code channel decoding on preset output values of an equivalent channel based on the compressed reserved bit set U S, to obtain a source decoded bit set U S C ′; obtaining error location information T based on the compressed reserved bit set U S C and the source decoded bit set U S C ′; characterized in that the image signal processing method further comprises: recording the compressed reserved bit set U S and the error location information T as a group of data [ U S, T]; and training a neural network for predicting the error location information T by using M of said recorded groups [ U S, T] until the network converges. obtaining a binary source X N of an image; performing polar code source compression on the binary source X N comprising: performing a polarization operation on X N based on channel polarization characteristics of polar coding, to obtain a to-be-compressed bit set U N, wherein the to-be-compressed bit set U N comprises a compressed reserved bit set U S and a compressed discarded bit set U S C; and obtaining a compressed reserved bit set U S from the to-be-compressed bit set U N; the image signal processing method further comprises: performing channel coding on the compressed reserved bit set U S, to obtain a coded bit sequence; outputting the coded bit sequence; performing source decoding on the compressed reserved bit set U S as polar code channel decoding on preset output values of an equivalent channel based on the compressed reserved bit set U S, to obtain a source decoded bit set U S C ′; obtaining error location information T based on the compressed reserved bit set U S C and the source decoded bit set U S C ′; characterized in that the image signal processing method further comprises: recording the compressed reserved bit set U S and the error location information T as a group of data [ U S, T]; and training a neural network for predicting the error location information T by using M of said recorded groups [ U S, T] until the network converges. performing a polarization operation on X N based on channel polarization characteristics of polar coding, to obtain a to-be-compressed bit set U N, wherein the to-be-compressed bit set U N comprises a compressed reserved bit set U S and a compressed discarded bit set U S C; and obtaining a compressed reserved bit set U S from the to-be-compressed bit set U N; the image signal processing method further comprises: performing channel coding on the compressed reserved bit set U S, to obtain a coded bit sequence; outputting the coded bit sequence; performing source decoding on the compressed reserved bit set U S as polar code channel decoding on preset output values of an equivalent channel based on the compressed reserved bit set U S, to obtain a source decoded bit set U S C ′; obtaining error location information T based on the compressed reserved bit set U S C and the source decoded bit set U S C ′; characterized in that the image signal processing method further comprises: recording the compressed reserved bit set U S and the error location information T as a group of data [ U S, T]; and training a neural network for predicting the error location information T by using M of said recorded groups [ U S, T] until the network converges. performing channel coding on the compressed reserved bit set U S, to obtain a coded bit sequence; outputting the coded bit sequence; performing source decoding on the compressed reserved bit set U S as polar code channel decoding on preset output values of an equivalent channel based on the compressed reserved bit set U S, to obtain a source decoded bit set U S C ′; obtaining error location information T based on the compressed reserved bit set U S C and the source decoded bit set U S C ′; characterized in that the image signal processing method further comprises: recording the compressed reserved bit set U S and the error location information T as a group of data [ U S, T]; and training a neural network for predicting the error location information T by using M of said recorded groups [ U S, T] until the network converges.