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IEEE Transactions on Consumer Electronics, 2011
The main objective of image enhancement is to improve some characteristic of an image to make it ... more The main objective of image enhancement is to improve some characteristic of an image to make it visually better one. This paper proposes a method for enhancing the color images based on nonlinear transfer function and pixel neighborhood by preserving details. In the proposed method, the image enhancement is applied only on the V (luminance value) component of the HSV color image and H and S component are kept unchanged to prevent the degradation of color balance between HSV components. The V channel is enhanced in two steps. First the V component image is divided into smaller overlapping blocks and for each pixel inside the block the luminance enhancement is carried out using nonlinear transfer function. In the second step, each pixel is further enhanced for the adjustment of the image contrast depending upon the center pixel value and its neighborhood pixel values. Finally, original H and S component image and enhanced V component image are converted back to RGB image. The subjective and objective performance evaluation shows that the proposed enhancement method yields better results without changing image original color in comparison with the conventional methods.
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This paper proposes a method for enhancing the color images based on nonlinear transfer function ... more This paper proposes a method for enhancing the color images based on nonlinear transfer function and pixel neighborhood by preserving details. In the proposed method, an input RGB color image is converted into an HSV color image. The image enhancement is applied only on the V (luminance value) component of the color image, because change in the H and S component could change the color balance between HSV components. The V component is enhanced in two steps. At first the V channel is divided into smaller blocks and in each block dynamic range compression is carried out using nonlinear transfer function. In the second step each pixels in each block are further enhanced for the adjustment of the image contrast depending upon the centre pixel and its neighborhood. The aim behind dividing the image into blocks is to preserve the details. The original H and S component image and enhanced V component image are converted back to the RGB image. The experimental results show that the proposed method yields better performance by preserving details and no change in color in comparison with other methods.
Bookmarks Related papers MentionsView impact
IEEE Transactions on Consumer Electronics, 2011
The main objective of image enhancement is to improve some characteristic of an image to make it ... more The main objective of image enhancement is to improve some characteristic of an image to make it visually better one. This paper proposes a method for enhancing the color images based on nonlinear transfer function and pixel neighborhood by preserving details. In the proposed method, the image enhancement is applied only on the V (luminance value) component of the HSV color image and H and S component are kept unchanged to prevent the degradation of color balance between HSV components. The V channel is enhanced in two steps. First the V component image is divided into smaller overlapping blocks and for each pixel inside the block the luminance enhancement is carried out using nonlinear transfer function. In the second step, each pixel is further enhanced for the adjustment of the image contrast depending upon the center pixel value and its neighborhood pixel values. Finally, original H and S component image and enhanced V component image are converted back to RGB image. The subjective and objective performance evaluation shows that the proposed enhancement method yields better results without changing image original color in comparison with the conventional methods.
Bookmarks Related papers MentionsView impact
This paper proposes a method for enhancing the color images based on nonlinear transfer function ... more This paper proposes a method for enhancing the color images based on nonlinear transfer function and pixel neighborhood by preserving details. In the proposed method, an input RGB color image is converted into an HSV color image. The image enhancement is applied only on the V (luminance value) component of the color image, because change in the H and S component could change the color balance between HSV components. The V component is enhanced in two steps. At first the V channel is divided into smaller blocks and in each block dynamic range compression is carried out using nonlinear transfer function. In the second step each pixels in each block are further enhanced for the adjustment of the image contrast depending upon the centre pixel and its neighborhood. The aim behind dividing the image into blocks is to preserve the details. The original H and S component image and enhanced V component image are converted back to the RGB image. The experimental results show that the proposed method yields better performance by preserving details and no change in color in comparison with other methods.
Bookmarks Related papers MentionsView impact