关键词: 高温锻件, 小波变换, 双三次插值, 图像增强

Abstract: A new image resolution enhancement technique was presented based on wavelet transform and bicubic interpolation, which used discrete wavelet to decompose the original images into different subbands, and then the original images and these subbands were bicubic interpolated. Meanwhile, an intermediate stage for estimating the high-frequency subbands was proposed in image processing, the differences among the low low(LL) subband images and the low-resolution input images wers extracted and this difference image(high-frequency components) was used in the intermediate processes to correct the estimated high-frequency components such as low high(LH), high low(HL) and high high(HH). At last, all these images were combined by using inverse wavelet transform. This method may effectively eliminate image noises and improve the image detail informations, and may preserve more edge informations and obtain a sharper image. The processing results of infrared images from main pipeline forgings of nuclear power and small hot forgings show that the superiority of the proposed algorithm on improving the quality of infrared images compared with the conventional image enhancement methods.

Key words: hot forgings, wavelet transform, bicubic interpolation, image enhancement