1. A method for image haze removal based on a hybrid dark channel prior, adapted to an electronic device, comprising: receiving an input hazy image comprising a plurality of input pixels; determining a hybrid dark channel for each of the input pixels according to a first minimum dark channel of a corresponding large local patch and a second minimum dark channel of a corresponding small local patch; determining a transmission map for each of the input pixels according to the hybrid dark channel prior, the corresponding hybrid dark channel and atmospheric light associated with the input hazy image in each color channel, comprising: for each of the input pixels: calculating the first minimum dark channel by performing a minimum operation on each large local patch pixel of the corresponding large local patch in each of the color channels and performing a minimum filter on the corresponding large local patch; calculating the second minimum dark channel by performing the minimum operation on each small local patch pixel of the corresponding small local patch in each of the color channels and performing the minimum filter on the corresponding small local patch; allocating a first weight to the first minimum dark channel and a second weight to the second minimum dark channel so as to obtain a first weighted minimum dark channel and a second weighted minimum dark channel, wherein the first weight and the second weight are positive values between 0 and 1, and a summation of the first weight and the second weight is 1; and combining the first weighted minimum dark channel and the second weighted so as to obtain the hybrid dark channel; determining a color spectrum adjustment parameter corresponding to each of the color channels; recovering scene radiance for each of the input pixels in each of the color channels according to the corresponding color spectrum adjustment parameter, the transmission map, and the corresponding atmospheric light so as to produce a de-hazed image; and outputting the de-hazed image.