باعتماد المدرج التكراري RGB تحسين الصور الملونة نوع

Abstract

Many researches have depended on histogram in improving the gray
pictures and showed good results in this field. Since there are many color
patterns of colored pictures, its depending on histogram on the purpose of
improvement is different. In this study, a (RGB) colored picture was
decomposed into the main colors (Red, Green and Blue), then it was
independently improved in that it was of gray gradient in order to be
recomposed after that. Then, the resulting colorful image was compared
with original image depending on the improvement observed on the colors
of image via calculating the Euclidian dimension for both pictures. The
pictures produced from the adopted algorithm showed significant results in
order to study the data which are available inside those pictures, which leads
to reveal the information hidden in the origin image, This may encourage
using such algorithm with other patterns of colors (HSL, SMYK..etc).