Rain Streaks Removal from Single Image

Rain removal from video is one of the challenging problems. There are very few methods which address the problem of rain removal from single image. Existing methods removes rain streaks from video not from single image. These methods capture non-rain data from successive images. This data is then utilized to replace rain-part in current images. This approach removes rain streaks from single image. Morphological Component Analysis (MCA) [9 - 13] decomposes image into Low Frequency (LF) and High Frequency (HF) parts using bilateral filter. High frequency part is then decomposed into rain-component and nonrain-component by performing dictionary learning and sparse coding [2]. Non-rain component contains image features from which rain streaks are removed. Non-rain component is mixed with Low Frequency (LF) image component to form original image from which rain steaks are removed. The Morphological Component Analysis (MCA) [9 - 13] is a allows us to separate features contained in an image when these features present different morphological aspects. MCA can be very useful for decomposing images into texture and piecewise smooth (cartoon) parts or for inpainting applications. DOI: 10.17762/ijritcc2321-8169.150615