Images are very powerful tools to provide information to the viewers in every field i.e. medical images for doctors, forensic images for police investigation, text images for readers etc. In the process of image acquisition, image clarity is affected by lighting, weather, distance, or equipment used for image capture. Sometimes quality of the image may be corrupted differently in various regions of an image. As contrast is one of the assessment factors for determining an image quality, it is necessary to develop a better and faster algorithm for contrast improvement in regions of interest. This paper proposes a method for image enhancement through contrast improvement in regions of interest using a Local Parameterized Gradient Intercept (LPGI) Model in spatial domain. The proposed method provides good results subjectively as well as objectively for both gray scale and true color images. The proposed method is useful for interactive image processing applications as it has a family of possible transformations for various enhancement levels in different regions of interest.
Image Compression is to minimize the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The compound image compression normally based on three classification methods that is object based, layer based and block based. This paper presents a block-based segmentation. for visually lossless compression of scanned documents that contain not only photographic images but also text and graphic images. In low bit rate applications they suffer with undesirable compression artifacts, especially for document images. Existing methods can reduce these artifacts by using post processing methods without changing the encoding process. Some of these post processing methods requires classification of the encoded blocks into different categories.
Now a day"s deblurring plays a crucial problem in many situations research due to the digital devices popularity such as digital camera, smart phone with camera etc. Aim of the image deblurring is making pictures sharp and useful. In previous methods do not find the perfect solution some disturbances are spectrally white occur in the image deblurring techniques. But In the proposed method compared to the non-blind deblur blind deblur gives the better results for synthetic and real life degradations with and without noise both in single and multiframe scenarios and also evaluate the whiteness in the image in terms of speed and restoration quality to compare the other deblurring techniques this paper yields better results .
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