Abstract-Photoacoustic imaging is used to differentiate between tissue types based on light absorption. Different structures, such as vascular density of capillaries in human tissue, can be analysed and used to detect the early stage of breast cancer. Delay and sum (DAS) beamforming is the preferred method to reconstruct photoacoustic images. However, for structures located deep in the tissue ( >10 mm), SNR of the photoacoustic signal drops signicantly . This study proposes using filter delay multiply and sum (FDMAS) beamforming technique to increase the SNR and enhance the image quality. FDMAS beamformer improved the SNR by 6.9 dB and the lateral resolution by 48% compare to the DAS beamformer. Moreover, the effect of aperture size on the proposed method is presented as the sub-group FDMAS, which further increased the improvement in image quality.