In the existing bilateral filtering algorithm, the domain parameters and range parameters need to

be predefined. Parameters of a bilateral filter are fixed and cannot guarantee to be optimal. A new adaptive

bilateral filtering (ABF) is proposed in this paper. The ABF obtains the domain parameters by estimating

the local object scale to minimize edge blurring. The range parameters are set adaptively according to noise

variance estimated in smooth areas of a sub image. The method can improve the filtering performance. To

filter out strong noise, the value of domain parameters is increased. ABF avoids setting parameters solely

by experience, and the domain parameters are set adaptively according to the local image features. ABF

can improve the noise filtering ability and reserves edges. Experiments show that the adaptive bilateral filter

is superior to traditional bilateral filters, anisotropic diffusion filters, and modified bilateral filters in both

subjective and objective uations.-In the existing bilateral filtering algorithm, the domain parameters and range parameters need to

be predefined. Parameters of a bilateral filter are fixed and cannot guarantee to be optimal. A new adaptive

bilateral filtering (ABF) is proposed in this paper. The ABF obtains the domain parameters by estimating

the local object scale to minimize edge blurring. The range parameters are set adaptively according to noise

variance estimated in smooth areas of a sub image. The method can improve the filtering performance. To

filter out strong noise, the value of domain parameters is increased. ABF avoids setting parameters solely

by experience, and the domain parameters are set adaptively according to the local image features. ABF

can improve the noise filtering ability and reserves edges. Experiments show that the adaptive bilateral filter

is superior to traditional bilateral filters, anisotropic diffusion filters, and modified bilateral filters in both

subjective and objective　ua